|Publication number||USRE43316 E1|
|Application number||US 10/950,226|
|Publication date||Apr 17, 2012|
|Filing date||Sep 23, 2004|
|Priority date||Jan 10, 1997|
|Publication number||10950226, 950226, US RE43316 E1, US RE43316E1, US-E1-RE43316, USRE43316 E1, USRE43316E1|
|Inventors||Stephen J. Brown, David L. Worthington|
|Original Assignee||Health Hero Network, Inc.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (266), Non-Patent Citations (57), Referenced by (14), Classifications (26), Legal Events (1)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This application is a continuation-in-part of application Ser. No. 08/844,245 filed Apr. 18, 1997, now U.S. Pat. No. 5,822,715 which is a continuation in part of application Ser. No. 08/781,278 filed Jan. 10, 1997, now U.S. Pat. No. 5,956,501 which. Application Ser. No. 08/781,278 is hereby incorporated by reference.
The present invention relates generally to disease management systems, and in particular to a diabetes management system for predicting a future blood glucose value of a patient and for recommending a corrective action to the patient when the future blood glucose value lies outside of a target range.
Insulin dependent diabetes mellitus (IDDM) is caused by the auto-immune destruction of the insulin producing islets of Langerhans in the pancreas. Insulin replacement therapy is the interim treatment for IDDM until such time as islet transplants become feasible. Insulin lowers the concentration of glucose in the blood, while food raises the concentration of glucose in the blood. The challenge of insulin therapy is to administer food and insulin in a manner which maintains blood glucose concentrations in an acceptable range, thereby avoiding hypoglycemia and hyperglycemia.
Hyperglycemia has adverse long term consequences for the body. These consequences include kidney damage leading to kidney failure, micro-enurisms in the retina causing blindness, and the blocking of capillaries in the extremities causing an inability to heal wounds and subsequent gangrene. Hypoglycemia has an immediate adverse consequence of reduced brain function which leads to confusion and an inability to reason, remember, or react. In the extreme, hypoglycemia causes seizure, coma, and death.
The first insulin used by diabetes patients was regular insulin taken from beef or pig pancreases. This insulin lasts for about six hours, so that patients were required to inject it three or four times per day. After World War II, longer acting insulin was developed by binding regular insulin to protamine and zinc. Regular insulin dissociates slowly from protamine and zinc, extending insulin action to twelve hours for intermediate acting insulin and twenty-four hours for ultra-lente insulin. Patients enjoyed reducing injections to one per day, but were required to modify their eating to a snack-all-day regimen to avoid hypoglycemia. The one daily insulin dose was adjusted as needed to reduce the incidence of both hypoglycemia and hyperglycemia.
The development of portable blood glucose meters encouraged the development of more sophisticated insulin therapy regimens. One of these regimens is the split/mixed regimen which consists of two daily doses of mixed regular and intermediate acting insulins taken before breakfast and dinner. These four insulin therapy components are adjusted using blood glucose values measured before each meal and at bedtime. Patients using the split/mixed regimen are required to eat substantially the same meals every day so that the four insulin components may be adapted to the consistent meal pattern over time.
The split/mixed regimen has the advantage of allowing independent adjustment of insulin doses for each meal and requires only two injections per day. However, it has several disadvantages which are primarily due to the intermediate acting insulin components. The intermediate acting insulin taken before breakfast affects lunch time and pre-dinner blood glucose, requiring a patient to commit to the size and timing of lunch before eating breakfast. The broad action of the intermediate acting insulin may lead to hypoglycemia before or after lunch when the size or timing of the lunch is varied. Similarly, the intermediate acting insulin taken before dinner requires the patient to eat a snack at bedtime to mitigate nocturnal hypoglycemia. Even when a snack is eaten, the intermediate acting insulin may cause hypoglycemia around 3 AM when its action peaks.
Many of the disadvantages of the split/mixed regimen are overcome in a second insulin therapy regimen called the basal/bolus regimen. The basal/bolus regimen attempts to emulate the method by which an intact pancreas controls blood glucose. Normally, the intact pancreas produces a steady supply of basal insulin to accommodate the body's basic resting needs. The pancreas handles meals by releasing a sharp impulse of bolus insulin in a first phase. The sharp impulse of bolus insulin raises circulating insulin levels immediately. The first phase is followed by a sustained level of heightened insulin release in a second phase. The second phase continues until the body's blood glucose concentration falls back to normal, at which point basal levels are obtained once again.
In the basal/bolus regimen, the basal insulin releases are emulated by two daily basal injections of intermediate acting insulin, such as Lente or Neutral Protamine Hagedorn (NPH), generally taken before breakfast and at bedtime. The bolus insulin releases are emulated by bolus injections of regular or fast acting lispro insulin taken before each meal. Fast acting lispro insulin allows the bolus injections to emulate the first phase action of the pancreas better than regular insulin by reducing the delay before the insulin injection takes effect and by shortening the overall duration of the insulin's action.
Thus, the basal/bolus regimen generally includes four insulin doses per day consisting of a pre-breakfast dose of intermediate insulin combined with regular or lispro insulin, pre-lunch and pre-dinner doses of regular or lispro insulin, and a bedtime dose of intermediate insulin. The two basal insulin doses accommodate the basic insulin needs of a patient absent any perturbations due to food. Food is handled by the bolus insulin doses, which the patient attempts to tailor to the amount of food to be eaten.
Problems arise in the basal/bolus regimen when a patient incorrectly estimates the dose of bolus insulin required for a given meal. Too little insulin causes the patient to develop hyperglycemia, while too much insulin causes the patient to develop hypoglycemia. Hypoglycemia or hyperglycemia may also result when the size of the meal is varied without adequate adjustment of the bolus insulin dose. Patients using the basal/bolus regimen are typically required to eat substantially the same meals every day so that the bolus insulin doses may be adapted to the consistent meal pattern over time.
Several electronic diabetes management systems have been developed to assist patients in the implementation of the split/mixed or basal/bolus regimens. One such system is disclosed in U.S. Pat. No. 5,019,974 issued to Beckers on May 28, 1991. Beckers describes a master computer for developing a therapy program for a patient and for downloading the therapy program to a patient-operated recorder. The recorder reminds the patient of any therapy due and records that the therapy has been performed by the patient. Data from the recorder is subsequently fed back to the master computer to improve or alter the therapy program.
In using Backers' system, a patient must strictly adhere to the predetermined therapy guidelines in order for the therapy program to be effective. To make any therapy adjustments, the patient must upload data to the master computer, wait for the therapy adjustments, and strictly follow the adjusted guidelines. Thus, Beckers' system restricts the patient to a consistent meal plan, with no flexibility for adjusting the therapy program to meals of varying size or timing.
Following a consistent meal plan is extremely difficult, whether for diabetes treatment or weight loss. Rarely can a patient stick to a predetermined meal plan every day of his or her life. Consequently, Beckers' system is ineffective for assisting the patient in controlling blood glucose and avoiding hypoglycemia or hyperglycemia when the patient deviates from the plan during his or her normal course of behavior.
Moreover, Beckers' system lacks any mechanism for predicting the patient's future blood glucose concentration and is thus unable to alert the patient to future hypoglycemia or hyperglycemia resulting from an unusual meal or an incorrectly estimated insulin dose taken for the meal. Further, Beckers does not teach or describe any mechanism for recommending to the patient a corrective action, such as a supplemental insulin dose or carbohydrate supplement, when the patient has a potential for future hypoglycemia or hyperglycemia.
Another diabetes management system is disclosed in U.S. Pat. No. 4,731,726 issued to Allen on Mar. 15, 1988. Allen describes a system which includes a physician computer for downloading therapy guidelines to a patient-operated apparatus. The apparatus includes a blood glucose meter for recording a patient's blood glucose values and keys for entering patient data relating to diet, insulin, exercise, stress, and symptoms of illness. The apparatus is programmed to recommend insulin doses to the patient based upon the data supplied.
Unfortunately, Allen's system recommends insulin doses to the patient based upon pre-meal blood glucose values only, as stated in column 16, lines 42-44. This forces the patient to wait until the next meal before he or she may take action to correct hypoglycemia or hyperglycemia developed since the previous meal. Further, Allen's system has no mechanism for predicting the patient's future blood glucose concentration based upon the patient's post-meal blood glucose value and the insulin action remaining from insulin doses injected before the meal. As a result, Allen's system is unable to alert the patient to future hypoglycemia or hyperglycemia resulting from the patient eating an unusual meal or taking an incorrect insulin dose for the meal.
In view of the above, it is an object of the present invention to provide a diabetes management system for predicting a future blood glucose concentration of a patient based upon the patient's current blood glucose concentration and the insulin action remaining from previous insulin doses, thereby enabling the patient to take timely corrective action to prevent hypoglycemia or hyperglycemia. It is another object of the invention to provide a diabetes management system for recommending the corrective action to the patient when the predicted blood glucose value lies outside of a target range.
These and other objects and advantages will become more apparent after consideration of the ensuing description and the accompanying drawings.
The invention presents a system and method for assisting a patient having diabetes mellitus in controlling blood glucose. The system includes a patient-operated apparatus having a blood glucose meter for measuring a blood sample of the patient and for producing from a measurement of the blood sample a blood glucose value G(td) representative of a blood glucose concentration of the patient at time td. The apparatus also includes a user interface for entering in the apparatus an insulin dose value Ik representative of an insulin dose administered to the patient prior to time td.
The apparatus further includes a memory for storing maximum and minimum values defining a target blood glucose range of the patient. The memory also stores a target blood glucose value of the patient within the range, an insulin sensitivity value representative of an insulin sensitivity of the patient, and information for determining an insulin action value Fk(td) representative of a fraction of insulin action remaining at time td from the insulin dose.
A processor is connected to the glucose meter, user interface, and memory. The processor is programmed to determine the insulin action value Fk(td) and to determine a future blood glucose value G(tj) representative of an expected blood glucose concentration of the patient at time tj. The processor determines the future blood glucose value G(tj) in dependence upon the blood glucose value G(td), the insulin dose value Ik, the insulin sensitivity value, and the insulin action value Fk(td). The processor is also programmed to determine a corrective action for the patient when the future blood glucose value G(tj) lies outside of the target range.
The corrective action is preferably an administration of a supplemental insulin dose when the future blood glucose value G(tj) lies above the target range or a consumption of a number of grams of carbohydrates when the future blood glucose value G(tj) lies below the target range. The processor is programmed to determine the supplemental insulin dose in dependence upon the insulin sensitivity value and a difference between the future blood glucose value G(tj) and the target blood glucose value. The processor is further programmed to determine the number of grams of carbohydrates to be consumed in dependence upon the difference between the future blood glucose value G(tj) and the target blood glucose value. A display is connected to the processor for displaying the future blood glucose value G(tj) and for recommending the corrective action to the patient.
The system also includes a healthcare provider computer in communication with the apparatus for receiving from the apparatus blood glucose values and insulin dose values and for calculating from the values an adjusted insulin sensitivity value for the patient. The apparatus includes a communication device, such as a modem and input/output port, connected to the processor for establishing a communication link between the apparatus and the healthcare provider computer, for transmitting the blood glucose values and insulin dose values through the communication link, and for receiving through the communication link the adjusted insulin sensitivity value.
The present invention is a diabetes management system and method for predicting a future blood glucose value of a patient and for recommending to the patient a corrective action when the future blood glucose value lies outside of a target blood glucose range. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that these specific details need not be used to practice the invention. In other instances, well known structures, interfaces, and processes are not shown in detail to avoid unnecessarily obscuring the present invention.
Apparatus 10 includes a display 14 for displaying predicted future blood glucose values and for recommending to the patient corrective actions when the future blood glucose values lie outside of a target blood glucose range. Display 14 is preferably a liquid crystal display (LCD). Display 14 is also designed to display prompts and a menu 46 to the patient during the operation of apparatus 10.
Menu 46 preferably includes a number of menu options as follows. The “DOSE” option starts a procedure for entering in apparatus 10 insulin dose values representative of insulin doses administered to the patient. Each insulin dose is typically self-injected by the patient. After injecting a dose, the patient selects the “DOSE” option to record in apparatus 10 the dose value and the type of insulin injected. The “TEST BG” option starts a procedure for measuring a current blood glucose value of the patient. The “PREDICT” option starts a procedure for predicting a future blood glucose value of the patient.
The “VALUES” option starts a procedure for entering in apparatus 10 various parameter values used to predict the future blood glucose values and to recommend appropriate corrective actions to the patient. The “SEND” option starts a procedure for transmitting the blood glucose values and insulin dose values stored in apparatus 10 to a healthcare provider computer. The “RECEIVE” option starts a procedure for receiving data from the healthcare provider computer.
Display 14 is also designed to display the predicted future blood glucose values in graphical form. Display 14 preferably displays a graph 48 which includes a blood glucose value curve 50 generated from the predicted blood glucose values. Graph 48 also includes a hypoglycemic line 52 indicating a hypoglycemic threshold of the patient and a hyperglycemic line 53 indicating a hyperglycemic threshold of the patient. Apparatus 10 also includes an audio transducer, such as a speaker 54, for audibly alerting the patient when a predicted future blood glucose value lies below the hypoglycemic threshold.
Apparatus 10 further includes a keypad 16 having a number of keys as follows. The ON/OFF key is pressed to turn apparatus 10 on and off. Number keys 0, 1, 2, 3, etc. are used for entering information on display 14, such as insulin dose values, insulin types, and dates and times of injections. The ENTER key is used after operation of the number keys to enter the information in apparatus 10. The ENTER key is also used to select menu options. The CLEAR key is used to clear numbers which have been entered incorrectly. The YES and NO keys are pressed in response to prompts on display 14 which require a yes or no answer.
The MENU key is pressed to display menu 46 on display 14. The ARROW keys are for scrolling through the menu options. Specific techniques for manufacturing and using an electronic apparatus having these keys are well known in the art. Further, those skilled in the art will recognize that the keys may be replaced by other user controls, such as switches, buttons, or graphic controls implemented on a touch sensitive screen.
Keypad 16 is connected to microprocessor 22 through a standard keypad decoder 26. Display 14 is connected to microprocessor 22 through a display driver 30. Microprocessor 22 communicates with display driver 30 via an interface, and display driver 30 updates and refreshes display 14 under the control of microprocessor 22. Speaker 54 and a clock 56 are also connected to microprocessor 22. Speaker 54 operates under the control of microprocessor 22 to emit audible tones alerting the patient to possible future hypoglycemia. Clock 56 supplies the current date and time to microprocessor 22.
Memory 24 also stores blood glucose values of the patient, the insulin dose values, the insulin types, and the parameter values used by microprocessor 22 to calculate future blood glucose values, supplemental insulin doses, and carbohydrate supplements. Each blood glucose value and insulin dose value is stored in memory 24 with a corresponding date and time. Memory 24 is preferably a nonvolatile memory, such as an electrically erasable read only memory (EEPROM).
Apparatus 10 also includes a blood glucose meter 28 connected to microprocessor 22. Glucose meter 28 is designed to measure blood samples received on blood glucose test strips and to produce blood glucose values from measurements of the blood samples. Such glucose meters are well known in the art. Glucose meter 28 is preferably of the type which produces digital values which are output directly to microprocessor 22. Alternatively, blood glucose meter 28 may be of the type which produces analog values. In this alternative embodiment, blood glucose meter 28 is connected to microprocessor 22 through an analog to digital converter (not shown).
Apparatus 10 further includes an input/output port 34, preferably a serial port, which is connected to microprocessor 22. Port 34 is connected to a modem 32 by an interface, preferably a standard RS232 interface. Modem 32 is for establishing a communication link between apparatus 10 and a healthcare provider computer 38 through a communication network 36. Modem 32 is capable of transmitting data to and receiving data from provider computer 38 through communication network 36. In the preferred embodiment, communication network 36 is a telephone network and modem 32 establishes the communication link to computer 38 through telephone lines.
Healthcare provider computer 38 is preferably a personal computer located at a healthcare provider site, such as the office of the patient's physician. Healthcare provider computer 38 is designed to receive the patient's blood glucose values and insulin dose values from apparatus 10 and calculate from the values an adjusted insulin sensitivity value for the patient, as will be explained in the operation section below.
The computer program executed by microprocessor 22 includes equations for calculating future blood glucose values, supplemental insulin doses, and carbohydrate supplements. The variables used in the computer program are defined as follows:
With these definitions, future blood glucose value G(tj) is calculated according to equation (1):
Microprocessor 22 calculates future blood glucose value G(tj) from blood glucose value G(td), insulin sensitivity value S, insulin dose value Ik, and insulin action values Fk(td) and Fk(tj). If the patient has injected multiple insulin doses, their remaining action is summed as shown. Blood glucose value G(td) is preferably measured a sufficient time after the patient's last meal to ensure that most or all of the meal has already been absorbed. A sufficient time is usually two hours after a typical meal, or one hour after a snack or smaller meal.
Apparatus 10 uses information derived from insulin time activity profiles to determine the insulin action values. The time activity profiles of insulin are described in several sources, such as Eli Lilly and Company's website http://www.lilly.com/diabetes/ref13manual/insulin13bck.html. The time activity profiles of insulin are also described in Howey et al. “A Rapidly Absorbed Analogue of Human Insulin”, Diabetes, Vol. 43, pp. 396-402, 1994, which is hereby incorporated by reference.
An insulin action value is determined from curves 42 or 44 by determining the time after injection, locating the corresponding percentage of insulin action remaining on the appropriate curve, and dividing the percentage by 100 to yield the insulin action value. For example, if the patient injected a dose of lispro and the time after injection equals 150 minutes, then the insulin action value is determined to be 0.40 from curve 44. This indicates that at 150 minutes after injection, the insulin dose has 40% of its full insulin action remaining to lower the patient's blood glucose concentration.
The insulin action curves shown in
The measured blood glucose values are used to generate a curve of the patient's blood glucose concentration as a function of time after injection. The total blood glucose drop resulting from the supplemental insulin dose is determined by subtracting the last blood glucose value from the first blood glucose value. The curve is normalized by subtracting the final blood glucose value from each point on the curve and dividing the result by the total blood glucose drop. Normalizing the curve in this manner yields an insulin action curve individualized to the patient. This experiment is repeated, preferably at varying times of day, to generate a continuous insulin action curve for the patient.
In the preferred embodiment, information for determining insulin action values Fk(td) and Fk(tj) is stored in memory 24 in tabular form. The information may be derived from standard insulin action curves or derived from an insulin action curve individualized to the patient.
The operation of the preferred embodiment is illustrated in
Insulin sensitivity value S is preferably customized to the patient based upon the patient's measured blood glucose values and insulin dose values, as will be explained in detail below. However, when the patient is first provided with apparatus 10, historical blood glucose values and insulin dose values may not be available. In this case, insulin sensitivity value S is preferably estimated by dividing 1,500 mg/dl by the patient's total daily insulin need. For example, if the patient's total daily insulin need is 30 units, the initial insulin sensitivity value is calculated as 50 mg/dl per unit of insulin.
Specific techniques for establishing carbohydrate value C, hypoglycemic value H, maximum value Rmax, minimum value Rmin, and target blood glucose value T are well known in the art. For example, many physicians prefer a target blood glucose range of 100-150 mg/dl with a target blood glucose value of 120 mg/dl and a hypoglycemic value of 70 mg/dl. Carbohydrate value C is preferably selected in dependence upon the patient's weight. For example, one gram of carbohydrates typically raises blood glucose concentrations by 3 mg/dl, 4 mg/dl, and 5 mg/dl for people who weigh 90 kg, 70 kg, and 45 kg, respectively.
Apparatus 10 is used by the patient to predict a future blood glucose value and to generate a corrective action when the predicted value lies outside of the patient's target blood glucose range.
In step 102, microprocessor 22 determines if the patient has selected the “DOSE” option from menu 46. If the patient has not selected the “DOSE” option, microprocessor 22 proceeds to step 106. If the patient has selected the “DOSE” option, microprocessor 22 proceeds to step 104, entering and storing dose value Ik and insulin type Pk.
To enter and store dose value Ik and insulin type Pk, microprocessor 22 displays the prompt “ENTER DOSE IN UNITS OF INSULIN” on display 14. The patient then enters dose value Ik into microprocessor 22 through keypad 16. The patient is then prompted with “ENTER INSULIN TYPE: PRESS 1 FOR REGULAR OR 2 FOR LISPRO”. The patient enters insulin type Pk into microprocessor 22 by pressing the key corresponding to the insulin type injected.
Microprocessor 22 then prompts the patient with “ENTER DATE/TIME OF INJECTION OR PRESS 1 FOR CURRENT DATE/TIME”. The patient enters the date and time of injection or selects the current date and time if the dose entry is made immediately after the injection. Microprocessor 22 stores dose value Ik and insulin type Pk in memory 24 with the selected date and time. Following step 104, microprocessor 22 proceeds to step 106.
In step 106, microprocessor 22 determines if the patient has selected the “TEST BG” option from menu 46. If the patient has not selected the “TEST BG” option, microprocessor 22 proceeds to step 118. If the patient has selected the “TEST BG” option, microprocessor 22 prompts the patient to place a blood sample on a blood glucose test strip and to insert the test strip in strip guide 18, step 108.
Glucose meter 28 measures the blood sample and produces blood glucose value G(td) from the measurement of the blood sample. In step 110, blood glucose value G(td) is entered in microprocessor 22 by glucose meter 28, coded and labeled with the date and time of the measurement, and stored in memory 24. Blood glucose value G(td) is also displayed to the patient on display 14 in step 112.
In step 114, microprocessor 22 determines if the patient has selected the “PREDICTION” option from menu 46. If the patient has not selected the “PREDICTION” option, microprocessor 22 proceeds to step 118. If the patient has selected the “PREDICTION” option, microprocessor 22 executes a future blood glucose value program module in step 116. The steps included in the future blood glucose value program module are illustrated in the flow chart of
In step 118, microprocessor 22 determines if the patient has selected the “VALUES” option from menu 46. If the patient has not selected the “VALUES” option, microprocessor 22 proceeds to step 124. If the patient has selected the “VALUES” option, microprocessor 22 displays on display 14 the parameter value entry window 58, step 120. In step 122, the parameter values are entered in microprocessor 22 through keypad 16 and stored in memory 24. Following step 122, microprocessor 22 proceeds to step 124.
In step 124, microprocessor 22 determines if the patient has selected the “SEND” option from menu 46. If the patient has not selected the “SEND” option, microprocessor 22 proceeds to step 128. If the patient has selected the “SEND” option, microprocessor 22 prompts the patient to connect modem 32 to a telephone line. Microprocessor 22 then transmits the blood glucose values and insulin dose values stored in memory 24 to healthcare provider computer 38 through network 36, step 126. Microprocessor 22 then proceeds to step 128.
In step 128, microprocessor 22 determines if the patient has selected the “RECEIVE” option from menu 46. If the patient has not selected the “RECEIVE” option, microprocessor 22 returns to step 102 and repeats the program steps until apparatus 10 is turned off by the patient. If the patient has selected the “RECEIVE” option, microprocessor 22 prompts the patient to connect modem 32 to a telephone line. In step 130, microprocessor 22 receives data from healthcare provider computer 38 through network 36.
The data preferably includes an adjusted insulin sensitivity value and may optionally include new maximum and minimum values defining the patient's target blood glucose range, a new target blood glucose value, and new insulin action table values for determining remaining insulin action. In step 132, microprocessor 22 stores the received data in memory 24 for use in subsequent calculations. Following step 132, microprocessor 22 returns to step 102 and repeats the program steps until apparatus 10 is turned off by the patient.
To set time tj equal to the ultimate time point, microprocessor 22 retrieves from memory 24 the last insulin dose value Ik and corresponding insulin type Pk entered by the patient. If the insulin type Pk is regular insulin, microprocessor 22 retrieves from Table 1 the time after injection value corresponding to 0.00 insulin action remaining, i.e. 720 minutes. If the insulin type Pk is lispro insulin, microprocessor 22 retrieves from Table 2 the time after injection value corresponding to 0.00 insulin action remaining, i.e. 390 minutes.
Microprocessor 22 adds the retrieved time after injection value to the time of injection stored with the last dose value Ik and sets time tj equal to the sum. When time tj is selected to be the ultimate time point, each insulin dose k injected by the patient will have no remaining insulin action at time tj. Accordingly, microprocessor 22 sets insulin action value Fk(tj) equal to 0 for each dose value Ik stored in memory 24, step 206. Following step 206, microprocessor 22 proceeds to step 212.
If the patient has not selected the ultimate time point for time tj, microprocessor 22 prompts the patient to specify time tj by displaying “ENTER TIME FOR PREDICTION”. The patient then enters time tj in microprocessor 22 in step 208. In step 210, microprocessor 22 determines insulin action values Fk(tj) for each dose value Ik stored in memory 24. Microprocessor 22 preferably determines insulin action values Fk(tj) using linear interpolation.
The insulin action value Fk(tj) for each dose value Ik is also determined in dependence upon its corresponding insulin type Pk. If the insulin type is regular insulin, microprocessor 22 determines the insulin action value Fk(tj) by interpolating between the values listed in Table 1. If the insulin type is lispro insulin, microprocessor 22 determines the insulin action value Fk(tj) by interpolating between the values listed in Table 2.
The interpolation is preferably performed as follows. For each dose value Ik, microprocessor 22 calculates a time after injection value Xk indicating the time differential between time tj and the time of injection of dose k. Microprocessor 22 then retrieves four values from the appropriate insulin action table. The four values retrieved are a first time after injection value X0 and its corresponding insulin action value Y0, and a second time after injection value X1 and its corresponding insulin action value Y1.
Value X0 is selected from the appropriate table as the time after injection value which is closest to value Xk without exceeding value Xk. Value X1 is selected as the time after injection value in the next row of the table. Microprocessor 22 preferably calculates the insulin action value Fk(tj) for each dose value according to equation (2A):
For example, if the patient enters a dose value indicating a dose of regular insulin was injected at 12:00 PM and specifies a time tj of 2:20 PM, microprocessor 22 first calculates time after injection value Xk to be 140 minutes. Microprocessor 22 then retrieves from Table 1 the values X0=135 minutes, Y0=0.70, X1=150 minutes, and Y1=0.64. Microprocessor 22 calculates insulin action value Fk(tj) for the dose from equation (2A) as:
Microprocessor 22 thus determines that the regular insulin dose injected at 12:00 PM will have 68% of its insulin action remaining at 2:20 PM. Specific techniques for performing linear interpolations in this manner are well known in the art. Further, those skilled in the art will recognize that the insulin action tables could be provided with shorter time intervals between the time points to provide as much precision and accuracy as desired in the interpolation.
In step 212, microprocessor 22 performs a similar linear interpolation to determine the insulin action values Fk(td) for each dose value Ik stored in memory 24. The insulin action value Fk(td) for each dose value Ik is also determined in dependence upon its corresponding insulin type Pk. If the insulin type is regular insulin, microprocessor 22 determines the value Fk(td) by interpolating between the values listed in Table 1. If the insulin type is lispro insulin, microprocessor 22 determines the value Fk(td) by interpolating between the values listed in Table 2.
For each dose value Ik, microprocessor 22 calculates a time after injection value Zk indicating the time differential between time td and the time of injection of dose k. Microprocessor 22 then retrieves from the appropriate insulin action table the first time after injection value X0, the corresponding insulin action value Y0, the second time after injection value X1, and the corresponding insulin action value Y1. Value X0 is selected from the appropriate table as the time after injection value which is closest to value Zk without exceeding value Zk. Value X1 is selected as the time after injection value in the next row of the table. Microprocessor 22 calculates each insulin action value Fk(td) according to equation (2B):
For example, if the patient enters a dose value indicating a dose of lispro insulin was injected at 8:30 PM and time td is 11:00 PM, microprocessor 22 first calculates time after injection value Zk to be 150 minutes. Microprocessor 22 then retrieves from Table 2 the values X0=150 minutes, Y0=0.40, X1=165 minutes, and Y1=0.32. Microprocessor 22 calculates insulin action value Fk(td) for the dose from equation (2B) as:
Microprocessor 22 thus determines that the lispro insulin dose injected at 8:30 PM has 40% of its insulin action remaining at 11:00 PM. In step 214, microprocessor 22 calculates predicted future blood glucose value G(tj) according to equation (1):
Future blood glucose value G(tj) is then displayed to the patient on display 14, step 216. In step 218, microprocessor 22 determines if the patient wishes to see graph 48 by displaying the prompt “DISPLAY GRAPH? YES/NO?”. In response to a NO input from the patient, microprocessor 22 proceeds to step 222. In response to a YES input from the patient, microprocessor 22 executes a graph program module in step 220. The steps included in the graph program module are illustrated in the flow chart of
In step 222, microprocessor 22 compares future blood glucose value G(tj) to maximum value Rmax and minimum value Rmin to determine if future blood glucose value G(tj) lies outside of the patient's target blood glucose range. If glucose value G(tj) does not lie outside of the target range, “NO CORRECTIVE ACTION REQUIRED” is displayed to the patient in step 224. Following step 224, the future blood glucose value program module ends.
If glucose value G(tj) lies outside of the target range, microprocessor 22 determines a corrective action for the patient and recommends the corrective action to the patient on display 14. In step 226, microprocessor 22 determines if glucose value G(tj) is greater than maximum value Rmax. If glucose value G(tj) is not greater than maximum value Rmax, microprocessor 22 proceeds to step 234.
If glucose value G(tj) is greater than maximum value Rmax, microprocessor 22 calculates a supplemental insulin dose D for the patient and displays insulin dose D on display 14, step 228. Microprocessor 22 preferably calculates supplemental insulin dose D in dependence upon insulin sensitivity value S and a difference between future blood glucose value G(tj) and target blood glucose value T according to equation (3):
After displaying supplemental insulin dose D, microprocessor 22 determines if the patient wishes to enter a dose value for the supplemental insulin dose by displaying the prompt “SUPPLEMENTAL INSULIN TAKEN? YES/NO?”, step 230. In response to a NO input from the patient, the program module ends. In response to a YES input, microprocessor 22 proceeds to step 232, entering and storing the dose value and insulin type of supplemental insulin dose D. Step 232 is analogous to step 104 previously described with reference to
In step 234, microprocessor 22 determines if glucose value G(tj) is less than hypoglycemic value H. If future blood glucose value G(tj) is not less than hypoglycemic value H, microprocessor 22 proceeds to step 240. If glucose value G(tj) lies below hypoglycemic value H, microprocessor 22 audibly alerts the patient by causing speaker 54 to emit audible tones, step 236. This alerts the patient that he or she is likely to develop hypoglycemia unless a carbohydrate supplement is taken.
In step 238, microprocessor 22 calculates a number B of grams of carbohydrates to be consumed by the patient and displays a recommendation to consume number of grams B, step 238. Following step 238, the program module ends. Microprocessor 22 preferably calculates number of grams B in dependence upon carbohydrate value C and the difference between future blood glucose value G(tj) and target blood glucose value T according to equation (4):
If future blood glucose value G(tj) is not less than hypoglycemic value H, then glucose value G(tj) lies in a range between hypoglycemic value H and minimum value Rmin.
In this case, microprocessor 22 displays to the patient “POSSIBLE FUTURE HYPOGLYCEMIA: RECOMMEND SUBSEQUENT GLUCOSE MEASUREMENT IN 1.5 HOURS”, step 240. Following step 240, the program module ends. Because the patient's blood glucose concentration may rebound, it is presently preferred not to recommend a carbohydrate supplement unless future blood glucose value G(tj) is below hypoglycemic value H.
In step 302, microprocessor 22 sets time tj equal to time td plus five minutes. In step 304, microprocessor 22 determines insulin action values Fk(tj) for each dose value Ik stored in memory 24. Step 304 is analogous to step 210 previously described with reference to
In step 308, microprocessor 22 determines if time tj is greater than or equal to the ultimate time point at which the last insulin dose k injected by the patient will have no insulin action remaining. If time tj is not greater than or equal to the ultimate time point, microprocessor 22 sets time tj equal to time tj plus five minutes, step 310. Microprocessor 22 then repeats steps 304-308 to calculate a subsequent future blood glucose value.
If time tj is greater than or equal to the ultimate time point, microprocessor 22 generates blood glucose value curve 50 from the calculated future blood glucose values and displays graph 48 on display 14, step 312. Following step 312, the graph program module ends. As shown in
The diabetes management system of the present invention provides a significant improvement over conventional diabetes management systems by alerting the patient to the possible development of hypoglycemia or hyperglycemia between meals, thereby allowing the patient to take early corrective action. Conventional management systems are unable to account for the insulin action remaining from previous insulin doses and therefore restrict insulin supplements to pre-meal times. Thus, in using these conventional systems, the patient must wait until the next meal time to correct hyperglycemia, and may develop hypoglycemia without warning.
The following is an illustrative example of how apparatus 10 assists a patient in preventing hyperglycemia between meals. The example assumes the patient has an insulin sensitivity value of 40 mg/dl per unit, a target blood glucose range of 100 mg/dl-150 mg/dl, a target blood glucose value of 120 mg/dl, a hypoglycemic value of 70 mg/dl, and a carbohydrate value of 4 mg/dl per gram.
In the example, the patient eats a late dinner at 8:40 PM. Before eating, the patient estimates that the meal requires 15 units of bolus insulin and injects 15 units of lispro at 8:30 PM. The patient records the dose value, dose type, and time of injection in apparatus 10. At bedtime, 11:00 PM, the patient uses apparatus 10 to measure his or her blood glucose value. Apparatus 10 produces and displays to the patient a current blood glucose value of 480 mg/dl. The patient then requests apparatus 10 to predict a future blood glucose value at the ultimate time point.
Microprocessor 22 retrieves from memory 24 the dose value and corresponding insulin type of the dose injected by the patient at 8:30 PM. Microprocessor 22 calculates time after injection value Zk to be 150 minutes. Microprocessor 22 then retrieves from Table 2 the values X0=150 minutes, Y0=0.40, X1=165 minutes, and Y1=0.32. Microprocessor 22 calculates insulin action value Fk(td) from equation (2B) as:
Microprocessor 22 thus determines that the lispro insulin dose injected at 8:30 PM has 40% of its insulin action remaining at 11:00 PM. Microprocessor 22 also sets insulin action value Fk(tj) equal to 0.0 for each dose value stored in memory 24. For simplicity of understanding, the example assumes that only the dose injected at 8:30 PM has remaining insulin action. Microprocessor 22 then calculates the predicted blood glucose value at 3:00 AM according to equation (1) as:
This indicates that the patient can expect an ultimate blood glucose value of 240 mg/dl when the insulin dose has been completely absorbed. The predicted value of 240 mg/dl is greater than the patient's maximum value of 150 mg/dl, so microprocessor 22 calculates a supplemental insulin dose for the patient and displays the recommended supplement on display 14. The supplemental dose D is calculated from equation (3) as:
D=(240−120)/40=3 units of supplemental insulin.
The patient takes the supplemental insulin dose and records the dose value in apparatus 10. From taking the supplemental insulin dose, the patient obtains eight hours of normal blood glucose in place of hyperglycemia. An adjusted insulin sensitivity may also be determined from the dose values and measured blood glucose values recorded in apparatus 10 as follows. The next morning, the patient measures his or her pre-breakfast blood glucose value using apparatus 10. The patient then transmits the recorded dose values and blood glucose values measured at bedtime and before breakfast to healthcare provider computer 38.
An adjusted insulin sensitivity value is calculated in healthcare provider computer 38 by subtracting the pre-breakfast blood glucose value from the bedtime blood glucose value. The result is divided by the total number of units of insulin which had remaining insulin action at bedtime. The number of units of insulin having remaining insulin action at bedtime is equal to the total number of units of the supplemental insulin dose plus the fraction of any previously injected insulin doses having remaining action.
An illustrative example will now be given using the same values presented above, where the patient's bedtime blood glucose value equals 480 mg/dl, the supplemental insulin dose value equals 3 units, and the fraction of insulin action remaining from a previous 15 unit insulin dose is 0.40. The present example further assumes a pre-breakfast blood glucose value of 138 mg/dl measured the following morning. The adjusted sensitivity value is calculated as:
S=(480−138)/(3+(15×0.40))=38 mg/dl per unit.
The insulin sensitivity value S is preferably updated over time as a moving average of the individually calculated sensitivity values.
A second example illustrates how apparatus 10 assists a patient in preventing hypoglycemia. The second example assumes the same values presented in the first example except that the patient's blood glucose value at 11:00 PM is now assumed to be 280 mg/dl. Microprocessor 22 calculates the predicted glucose value at 3:00 AM from equation (1) as:
The predicted value of 40 mg/dl is less than the patient's hypoglycemic value of 70 mg/dl. Accordingly, microprocessor 22 calculates a carbohydrate supplement and displays the number of grams of carbohydrates to be consumed by the patient. The number of grams of carbohydrates is calculated from equation (4) as:
B=(120 mg/dl−40 mg/dl)/4=20 grams.
The patient consumes the carbohydrate supplement and successfully avoids hypoglycemia.
Although the above description contains many specificities, these should not be construed as limitations on the scope of the invention but merely as illustrations of the presently preferred embodiment. Many other embodiments of the invention are possible. For example, the system of the invention may be implemented in many different hardware configurations. It is presently preferred to provide the patient with a small, portable apparatus to facilitate use of the apparatus throughout the day. However, in alternative embodiments, the apparatus may comprise a personal computer, a multi-media processor connected to a television, or any other electronic device capable of performing the functions described.
Additionally, the system is not limited to establishing a communication link between the apparatus and healthcare provider computer through a telephone line or data connection cord. Those skilled in the art will recognize that the apparatus may be placed in communication with the healthcare provider computer through a computer network, a wireless communication network, or a data storage card, such as a smart card, exchanged between the physician and patient. Specific techniques for establishing communication links between a physician and a remotely located patient are well known in the art.
The insulin sensitivity values and insulin action values for determining remaining insulin action may differ in alternative embodiments. The values shown in the preferred embodiment are exemplary of one possible embodiment of the invention and are not intended to limit its scope. Further, the insulin action values may be derived from standard data or derived from the blood glucose values and insulin dose values of an individual patient. The insulin action values may be further customized to the individual patient in dependence upon the patient's preferred mode of insulin administration, e.g. syringe injections into the thigh, gut, or arm, insulin pump administrations, or inhalation.
Further, the insulin action values need not be stored in tabular form. In an alternative embodiment, the apparatus stores first and second mathematical equations derived from the insulin action curves. The first equation expresses remaining insulin action as a function of time after injection of a dose of regular insulin. The second equation expresses remaining insulin action as a function of time after injection of a dose of lispro insulin. In this embodiment, the apparatus determines an insulin action value by determining the time after injection and calculating the insulin action value using the equation corresponding to the type of insulin injected.
The preferred embodiment includes a patient-operated apparatus and a healthcare provider computer in communication with the apparatus. This configuration of system components is presently preferred for ease of setting, storing, and adjusting the target blood glucose value and insulin sensitivity value of the patient under the supervision of a healthcare provider. However, those skilled in the art will recognize that the apparatus itself may also be programmed to adjust the patient's insulin sensitivity value based upon the stored blood glucose values and insulin dose values, eliminating the need for the healthcare provider computer if physician review is deemed unnecessary.
It is presently preferred to include a blood glucose meter in the apparatus for automated entry of blood glucose values. However, the apparatus need not include a blood glucose meter. In one alternative embodiment, the blood glucose meter is separate from the apparatus and the patient manually enters measured blood glucose values into the apparatus through the keypad. In another embodiment, the blood glucose meter is connectable to the apparatus through a serial input/output port for automated uploading of the blood glucose values. Similarly, in embodiments of the apparatus which include a modem, the modem need not be built into the apparatus. In alternative embodiments, the apparatus may be adapted to receive a separate modem card, as is well known in the art.
Moreover, the apparatus is not limited to storing patient data relating only to blood glucose and insulin dose values. In alternative embodiments, the apparatus also stores guidelines for diet, exercise, and other therapy parameters. Further, the apparatus may be programmed to prompt a patient for data relating to the therapy parameters and to display recommended guidelines to the patient.
Additionally, the invention may also be implemented as a simulation system for educating and training patients in blood glucose control. In the simulation embodiment, the insulin dose values are representative of simulated insulin doses and the blood glucose values are representative of simulated blood glucose concentrations. The patient enters various insulin dose values and blood glucose values in the simulation system to learn their effect on his or her future blood glucose concentration.
Therefore, the scope of the invention should be determined not by the examples given but by the appended claims and their legal equivalents.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US3426150||Sep 27, 1965||Feb 4, 1969||Lockheed Aircraft Corp||System for fm transmission of cardiological data over telephone lines|
|US3566365||Sep 12, 1968||Feb 23, 1971||Searle Medidata Inc||Multiphasic medical screening system|
|US3566370||Jun 10, 1969||Feb 23, 1971||Searle Medidata Inc||Automated medical history taking system|
|US3768014||Jan 28, 1972||Oct 23, 1973||Gen Electric||Cardiac pacemaker rate/interval computer system|
|US3910257||Apr 25, 1973||Oct 7, 1975||Nasa||Medical subject monitoring systems|
|US3920005||Sep 28, 1973||Nov 18, 1975||Medtronic Inc||Evaluation system for cardiac stimulators|
|US3996928||May 28, 1975||Dec 14, 1976||Marx Alvin J||Patient vital-signs automated measuring apparatus|
|US4004577||Jul 15, 1974||Jan 25, 1977||Survival Technology, Inc.||Method of treating heart attack patients prior to the establishment of qualified direct contact personal care|
|US4130881||Jan 28, 1974||Dec 19, 1978||Searle Medidata, Inc.||System and technique for automated medical history taking|
|US4150284||Apr 28, 1977||Apr 17, 1979||Texas Instruments Incorporated||Medical patient condition monitoring system|
|US4151407||Apr 28, 1977||Apr 24, 1979||Texas Instruments Incorporated||Low-power, infrared information transmission system|
|US4151831||Nov 15, 1976||May 1, 1979||Safetime Monitors, Inc.||Fertility indicator|
|US4173971||Aug 29, 1977||Nov 13, 1979||Karz Allen E||Continuous electrocardiogram monitoring method and system for cardiac patients|
|US4216462||Mar 6, 1978||Aug 5, 1980||General Electric Company||Patient monitoring and data processing system|
|US4227526||Apr 13, 1978||Oct 14, 1980||Extracorporeal Medical Systems, Inc.||Mechanism for aurally instructing a patient and method|
|US4253521||Oct 23, 1978||Mar 3, 1981||Halliburton Company||Setting tool|
|US4259548||Nov 14, 1979||Mar 31, 1981||Gte Products Corporation||Apparatus for monitoring and signalling system|
|US4270547||Oct 3, 1978||Jun 2, 1981||University Patents, Inc.||Vital signs monitoring system|
|US4296756||Jul 26, 1979||Oct 27, 1981||Cyber Diagnostics, Inc.||Remote pulmonary function tester|
|US4347568||Dec 7, 1978||Aug 31, 1982||Diamond Shamrock Corporation||Occupational health/environmental surveillance|
|US4347851||Oct 21, 1980||Sep 7, 1982||Norman S. Blodgett||Vital signs monitor|
|US4360345||Jul 14, 1980||Nov 23, 1982||American Heart Association, Inc.||Health education system|
|US4417306||Jan 7, 1982||Nov 22, 1983||Medtronic, Inc.||Apparatus for monitoring and storing utilizing a data processor|
|US4422081||Apr 27, 1982||Dec 20, 1983||Del Mar Avionics||Validator for electrocardial data processing system|
|US4449536||Oct 31, 1980||May 22, 1984||Sri International||Method and apparatus for digital data compression|
|US4465077||Nov 12, 1981||Aug 14, 1984||Howard Schneider||Apparatus and method of determining fertility status|
|US4473884||Jan 8, 1982||Sep 25, 1984||Sybron Corporation||Electronic medication dispensing system|
|US4519398||Jan 21, 1982||May 28, 1985||Del Mar Avionics||Method and apparatus for long-term monitoring of physiological activity to provide a compact portable record|
|US4531527||Apr 23, 1982||Jul 30, 1985||Survival Technology, Inc.||Ambulatory monitoring system with real time analysis and telephone transmission|
|US4546436||Jul 6, 1983||Oct 8, 1985||The Johns Hopkins University||Portable pH data collector|
|US4566461||Feb 15, 1983||Jan 28, 1986||Michael Lubell||Health fitness monitor|
|US4576578||Mar 31, 1983||Mar 18, 1986||Bell & Howell Company||Interactive training apparatus|
|US4592546||Apr 26, 1984||Jun 3, 1986||David B. Lockton||Game of skill playable by remote participants in conjunction with a live event|
|US4627445||Apr 8, 1985||Dec 9, 1986||Garid, Inc.||Glucose medical monitoring system|
|US4674652||Apr 11, 1985||Jun 23, 1987||Aten Edward M||Controlled dispensing device|
|US4686624||Apr 10, 1984||Aug 11, 1987||Dominique Blum||Portable apparatus for acquiring and processing data relative to the dietetics and/or the health of a person|
|US4694490||Nov 3, 1981||Sep 15, 1987||Harvey John C||Signal processing apparatus and methods|
|US4695954||Oct 31, 1984||Sep 22, 1987||Rose Robert J||Modular medication dispensing system and apparatus utilizing portable memory device|
|US4712562||Oct 1, 1986||Dec 15, 1987||Jacques J. Ohayon||Outpatient monitoring systems|
|US4722349||Sep 29, 1983||Feb 2, 1988||Zvi Halperin||Arrangement for and method of tele-examination of patients|
|US4729381||Feb 4, 1987||Mar 8, 1988||Nippon Colin Co., Ltd.||Living body information recorder|
|US4731726||May 19, 1986||Mar 15, 1988||Healthware Corporation||Patient-operated glucose monitor and diabetes management system|
|US4768229||Jul 21, 1986||Aug 30, 1988||Zenith Electronics Corporation||Restrictive access control system|
|US4779199||Sep 8, 1986||Oct 18, 1988||Sumitomo Electric Industries, Ltd.||Patient monitor|
|US4782511||Jul 11, 1986||Nov 1, 1988||Murex Corporation||Interactive medical laboratory specimen apparatus system|
|US4796639||Nov 5, 1987||Jan 10, 1989||Medical Graphics Corporation||Pulmonary diagnostic system|
|US4799199||Sep 18, 1986||Jan 17, 1989||Motorola, Inc.||Bus master having burst transfer mode|
|US4803625||Jun 30, 1986||Feb 7, 1989||Buddy Systems, Inc.||Personal health monitor|
|US4835372||Jul 24, 1987||May 30, 1989||Clincom Incorporated||Patient care system|
|US4838275||Jul 20, 1987||Jun 13, 1989||Lee Arnold St J||Home medical surveillance system|
|US4858354||Mar 9, 1987||Aug 22, 1989||Gettler Lawrence H||Organization system|
|US4858617||Sep 10, 1987||Aug 22, 1989||Ith, Inc.||Cardiac probe enabling use of personal computer for monitoring heart activity or the like|
|US4890621||Jan 19, 1988||Jan 2, 1990||Northstar Research Institute, Ltd.||Continuous glucose monitoring and a system utilized therefor|
|US4897869||Apr 14, 1989||Jan 30, 1990||Canon Kabushiki Kaisha||Data communication apparatus|
|US4907973||Nov 14, 1988||Mar 13, 1990||Hon David C||Expert system simulator for modeling realistic internal environments and performance|
|US4933873||Jun 2, 1988||Jun 12, 1990||Healthtech Services Corp.||Interactive patient assistance device|
|US4950246||Apr 27, 1988||Aug 21, 1990||Spruyt-Hillen B.V.||Injection pen|
|US4953552||Apr 21, 1989||Sep 4, 1990||Demarzo Arthur P||Blood glucose monitoring system|
|US4958632||Mar 5, 1980||Sep 25, 1990||Medtronic, Inc.||Adaptable, digital computer controlled cardiac pacemaker|
|US4958641||Mar 10, 1989||Sep 25, 1990||Instromedix, Inc.||Heart data monitoring method and apparatus|
|US4967756||Jun 15, 1988||Nov 6, 1990||Instromedix, Inc.||Blood pressure and heart rate monitoring method and apparatus|
|US4977899||Nov 24, 1989||Dec 18, 1990||Instromedix, Inc.||Heart data monitoring method and apparatus|
|US4979509||Jul 19, 1989||Dec 25, 1990||Northstar Research Institute, Ltd.||Continuous glucose monitoring and a system utilized therefor|
|US5007429||Apr 11, 1989||Apr 16, 1991||Pulsetrend, Inc.||Interface using 12-digit keypad for programming parameters in ambulatory blood pressure monitor|
|US5016172||Dec 26, 1989||May 14, 1991||Ramp Comsystems, Inc.||Patient compliance and status monitoring system|
|US5019974||Feb 22, 1990||May 28, 1991||Diva Medical Systems Bv||Diabetes management system and apparatus|
|US5024225||Jan 5, 1990||Jun 18, 1991||William Fang||Personal health monitor enclosure|
|US5025374||Dec 9, 1987||Jun 18, 1991||Arch Development Corp.||Portable system for choosing pre-operative patient test|
|US5034807||Oct 19, 1989||Jul 23, 1991||Kohorn H Von||System for evaluation and rewarding of responses and predictions|
|US5036462||Sep 29, 1989||Jul 30, 1991||Healthtech Services Corp.||Interactive patient assistance and medication delivery systems responsive to the physical environment of the patient|
|US5049487||Feb 11, 1988||Sep 17, 1991||Lifescan, Inc.||Automated initiation of timing of reflectance readings|
|US5050612||Sep 12, 1989||Sep 24, 1991||Matsumura Kenneth N||Device for computer-assisted monitoring of the body|
|US5056059||Nov 19, 1990||Oct 8, 1991||Hewlett-Packard Company||Medical monitoring system interface|
|US5059394||Feb 11, 1988||Oct 22, 1991||Lifescan, Inc.||Analytical device for the automated determination of analytes in fluids|
|US5065315||Oct 24, 1989||Nov 12, 1991||Garcia Angela M||System and method for scheduling and reporting patient related services including prioritizing services|
|US5068536||Apr 9, 1991||Nov 26, 1991||Futrex, Inc.||Method for providing custom calibration for near infrared instruments for measurement of blood glucose|
|US5074317||Mar 24, 1989||Dec 24, 1991||Bondell James A||System for treatment of enuresis|
|US5077476||Aug 10, 1990||Dec 31, 1991||Futrex, Inc.||Instrument for non-invasive measurement of blood glucose|
|US5095798||Jan 8, 1990||Mar 17, 1992||Nintendo Co. Ltd.||Electronic gaming device with pseudo-stereophonic sound generating capabilities|
|US5109414||Sep 25, 1990||Apr 28, 1992||Personalized Mass Media Corporation||Signal processing apparatus and methods|
|US5109974||Mar 27, 1991||May 5, 1992||Menziken Automation Mat Ag||Assembly line system|
|US5111396||Nov 9, 1989||May 5, 1992||Instromedix, Inc.||Portable ecg data-storage apparatus|
|US5111817||Dec 29, 1988||May 12, 1992||Medical Physics, Inc.||Noninvasive system and method for enhanced arterial oxygen saturation determination and arterial blood pressure monitoring|
|US5111818||May 8, 1990||May 12, 1992||Capintec, Inc.||Ambulatory physiological evaluation system including cardiac monitoring|
|US5120230||Jun 3, 1991||Jun 9, 1992||Optical Data Corporation||Interactive method for the effective conveyance of information in the form of visual images|
|US5120421||Aug 31, 1990||Jun 9, 1992||The United States Of America As Represented By The United States Department Of Energy||Electrochemical sensor/detector system and method|
|US5128752||Oct 25, 1990||Jul 7, 1992||Kohorn H Von||System and method for generating and redeeming tokens|
|US5134391||Jan 8, 1990||Jul 28, 1992||Nintendo Company Limited||System for preventing the use of an unauthorized external memory|
|US5142358||Feb 11, 1991||Aug 25, 1992||Jason Leonard A||Earn per view television viewing regulation device|
|US5142484||Dec 19, 1989||Aug 25, 1992||Health Tech Services Corporation||An interactive patient assistance device for storing and dispensing prescribed medication and physical device|
|US5176502||Apr 25, 1990||Jan 5, 1993||Becton, Dickinson And Company||Syringe pump and the like for delivering medication|
|US5182707||Jul 23, 1990||Jan 26, 1993||Healthdyne, Inc.||Apparatus for recording reagent test strip data by comparison to color lights on a reference panel|
|US5204670||Aug 23, 1990||Apr 20, 1993||B. I. Incorporated||Adaptable electric monitoring and identification system|
|US5222020||Apr 13, 1990||Jun 22, 1993||Takeda Engineering Consultant Inc.||Acquisition of arterial response process for pulsating blood flow and its blood pressure measuring method|
|US5227874||Oct 15, 1991||Jul 13, 1993||Kohorn H Von||Method for measuring the effectiveness of stimuli on decisions of shoppers|
|US5228450||May 3, 1991||Jul 20, 1993||Diagnostic Medical Instruments, Inc.||Methods and apparatus for ambulatory physiological monitoring|
|US5231990||Jul 9, 1992||Aug 3, 1993||Spacelabs, Medical, Inc.||Application specific integrated circuit for physiological monitoring|
|US5249044||May 5, 1992||Sep 28, 1993||Kohorn H Von||Product information storage, display, and coupon dispensing system|
|US5251126||Oct 29, 1990||Oct 5, 1993||Miles Inc.||Diabetes data analysis and interpretation method|
|US5261401||Nov 3, 1989||Nov 16, 1993||James Baker||Ambulatory cardiac diagnostic units having means for inhibiting pacemaker response|
|US5262943||Oct 15, 1991||Nov 16, 1993||National Computer Systems, Inc.||System and process for information management and reporting|
|US5265888||Feb 19, 1993||Nov 30, 1993||Nintendo Co., Ltd.||Game apparatus and memory cartridge used therefor|
|US5266179||Jul 19, 1991||Nov 30, 1993||Matsushita Electric Industrial Co., Ltd.||Quantitative analysis method and its system using a disposable sensor|
|US5275159||Mar 20, 1992||Jan 4, 1994||Madaus Schwarzer Medizintechnik Gmbh & Co. Kg||Method and apparatus for diagnosis of sleep disorders|
|US5282950||Jul 14, 1992||Feb 1, 1994||Boehringer Mannheim Gmbh||Electrochemical analysis system|
|US5299121||Jun 4, 1992||Mar 29, 1994||Medscreen, Inc.||Non-prescription drug medication screening system|
|US5301105||Apr 8, 1991||Apr 5, 1994||Desmond D. Cummings||All care health management system|
|US5304468||Jan 26, 1993||Apr 19, 1994||Lifescan, Inc.||Reagent test strip and apparatus for determination of blood glucose|
|US5307263||Nov 17, 1992||Apr 26, 1994||Raya Systems, Inc.||Modular microprocessor-based health monitoring system|
|US5309919||Mar 2, 1992||May 10, 1994||Siemens Pacesetter, Inc.||Method and system for recording, reporting, and displaying the distribution of pacing events over time and for using same to optimize programming|
|US5329459||Sep 2, 1993||Jul 12, 1994||Healthtech Services Corporation||Interactive medication delivery system|
|US5329608||Aug 18, 1993||Jul 12, 1994||At&T Bell Laboratories||Automatic speech recognizer|
|US5331549||Jul 30, 1992||Jul 19, 1994||Crawford Jr John M||Medical monitor system|
|US5339821||Oct 26, 1992||Aug 23, 1994||Seta Co., Ltd.||Home medical system and medical apparatus for use therewith|
|US5341291||Mar 8, 1993||Aug 23, 1994||Arch Development Corporation||Portable medical interactive test selector having plug-in replaceable memory|
|US5343239||Nov 20, 1991||Aug 30, 1994||Zing Systems, L.P.||Transaction based interactive television system|
|US5344324||Jul 15, 1992||Sep 6, 1994||Nova Scientific Corporation||Apparatus and method for testing human performance|
|US5357427||Mar 15, 1993||Oct 18, 1994||Digital Equipment Corporation||Remote monitoring of high-risk patients using artificial intelligence|
|US5366896||Jul 30, 1991||Nov 22, 1994||University Of Virginia Alumni Patents Foundation||Robotically operated laboratory system|
|US5371687||Nov 20, 1992||Dec 6, 1994||Boehringer Mannheim Corporation||Glucose test data acquisition and management system|
|US5375604||Dec 11, 1992||Dec 27, 1994||Siemens Medical Electronics, Inc.||Transportable modular patient monitor|
|US5377100||Mar 8, 1993||Dec 27, 1994||The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration||Method of encouraging attention by correlating video game difficulty with attention level|
|US5390238||Jun 15, 1992||Feb 14, 1995||Motorola, Inc.||Health support system|
|US5399821||Oct 20, 1993||Mar 21, 1995||Teikoku Tsushin Kogyo Co., Ltd.||Keytop for push-button switches, and method of manufacturing same|
|US5410471||Feb 11, 1993||Apr 25, 1995||Toto, Ltd.||Networked health care and monitoring system|
|US5410474||Jul 27, 1993||Apr 25, 1995||Miles Inc.||Buttonless memory system for an electronic measurement device|
|US5429140||Jun 4, 1993||Jul 4, 1995||Greenleaf Medical Systems, Inc.||Integrated virtual reality rehabilitation system|
|US5431691||Mar 2, 1992||Jul 11, 1995||Siemens Pacesetter, Inc.||Method and system for recording and displaying a sequential series of pacing events|
|US5434611||Dec 15, 1992||Jul 18, 1995||Matsushita Electric Industrial Co., Ltd.||Home health care system which employs a two-way community antenna television network to permit communication between a doctor and patients at different locations|
|US5438607||Nov 25, 1992||Aug 1, 1995||U.S. Monitors, Ltd.||Programmable monitoring system and method|
|US5441047||May 25, 1993||Aug 15, 1995||David; Daniel||Ambulatory patient health monitoring techniques utilizing interactive visual communication|
|US5454721||Dec 30, 1993||Oct 3, 1995||Kuch; Nina J.||Application of multi-media technology to nutrition education and diet planning|
|US5454722||Nov 12, 1993||Oct 3, 1995||Project Orbis International, Inc.||Interactive multimedia eye surgery training apparatus and method|
|US5456606||Jul 7, 1994||Oct 10, 1995||Mcintyre; Kevin M.||System for making therapeutic recordings|
|US5456692||Sep 3, 1993||Oct 10, 1995||Pacesetter, Inc.||System and method for noninvasively altering the function of an implanted pacemaker|
|US5458123||Apr 29, 1994||Oct 17, 1995||Siemens Medical Systems, Inc.||System for monitoring patient location and data|
|US5467269||May 31, 1994||Nov 14, 1995||J. B. Laughrey, Inc.||Method and means for telephonically crediting customers with rebates and refunds|
|US5471039||Jun 22, 1994||Nov 28, 1995||Panda Eng. Inc.||Electronic validation machine for documents|
|US5483276||Aug 2, 1993||Jan 9, 1996||The Arbitron Company||Compliance incentives for audience monitoring/recording devices|
|US5488412||Mar 31, 1994||Jan 30, 1996||At&T Corp.||Customer premises equipment receives high-speed downstream data over a cable television system and transmits lower speed upstream signaling on a separate channel|
|US5488423||Nov 17, 1994||Jan 30, 1996||U.S. Narrow Networks, Inc.||Home communication method and apparatus|
|US5501231||Jun 2, 1993||Mar 26, 1996||Kaish; Norman||Patient operated system for testing and recording a biological condition of the patient|
|US5502636||Jan 31, 1992||Mar 26, 1996||R.R. Donnelley & Sons Company||Personalized coupon generating and processing system|
|US5502726||Jan 31, 1992||Mar 26, 1996||Nellcor Incorporated||Serial layered medical network|
|US5504519||Jul 2, 1993||Apr 2, 1996||Viscorp||Method and apparatus for printing coupons and the like|
|US5517405||Oct 14, 1993||May 14, 1996||Aetna Life And Casualty Company||Expert system for providing interactive assistance in solving problems such as health care management|
|US5518001||Jun 17, 1994||May 21, 1996||Pacesetter, Inc.||Cardiac device with patient-triggered storage of physiological sensor data|
|US5519433||Nov 30, 1993||May 21, 1996||Zing Systems, L.P.||Interactive television security through transaction time stamping|
|US5544649||Mar 15, 1995||Aug 13, 1996||Cardiomedix, Inc.||Ambulatory patient health monitoring techniques utilizing interactive visual communication|
|US5546943||Dec 9, 1994||Aug 20, 1996||Gould; Duncan K.||Stimulating a beneficial human response by using visualization of medical scan data to achieve psychoneuroimmunological virtual reality|
|US5549117||Dec 22, 1995||Aug 27, 1996||Enact Health Management Systems||System for monitoring and reporting medical measurements|
|US5550575||May 4, 1994||Aug 27, 1996||West; Brett||Viewer discretion television program control system|
|US5553609||Feb 9, 1995||Sep 10, 1996||Visiting Nurse Service, Inc.||Intelligent remote visual monitoring system for home health care service|
|US5558638||Apr 30, 1993||Sep 24, 1996||Healthdyne, Inc.||Patient monitor and support system|
|US5564429||Sep 20, 1994||Oct 15, 1996||Vitalscan, Inc.||Method of identifying valid signal-carrying channels in a cardiorespiratory alert system|
|US5569212||Jul 22, 1994||Oct 29, 1996||Raya Systems, Inc.||Apparatus for electrically determining injection doses in syringes|
|US5572421||Jun 2, 1994||Nov 5, 1996||Altman; Louis||Portable medical questionnaire presentation device|
|US5574828||Apr 28, 1994||Nov 12, 1996||Tmrc||Expert system for generating guideline-based information tools|
|US5576952||Mar 9, 1993||Nov 19, 1996||Metriplex, Inc.||Medical alert distribution system with selective filtering of medical information|
|US5590648||Apr 7, 1994||Jan 7, 1997||Tremont Medical||Personal health care system|
|US5596994||May 2, 1994||Jan 28, 1997||Bro; William L.||Automated and interactive behavioral and medical guidance system|
|US5597307||May 11, 1995||Jan 28, 1997||Tv Interactive Data Corporation||Method for starting up a process automatically on insertion of a storage media into a host device|
|US5601435||Nov 4, 1994||Feb 11, 1997||Intercare||Method and apparatus for interactively monitoring a physiological condition and for interactively providing health related information|
|US5613495||Jul 6, 1995||Mar 25, 1997||Instromedix, Inc.||High functional density cardiac monitoring system for captured windowed ECG data|
|US5619991||Apr 26, 1995||Apr 15, 1997||Lucent Technologies Inc.||Delivery of medical services using electronic data communications|
|US5624265||Jul 1, 1994||Apr 29, 1997||Tv Interactive Data Corporation||Printed publication remote contol for accessing interactive media|
|US5628309||Jan 25, 1996||May 13, 1997||Raya Systems, Inc.||Meter for electrically measuring and recording injection syringe doses|
|US5629981||Jul 29, 1994||May 13, 1997||Texas Instruments Incorporated||Information management and security system|
|US5631844||Nov 22, 1994||May 20, 1997||University Of Virginia||Interactive remote sample analysis system|
|US5633910||Sep 13, 1994||May 27, 1997||Cohen; Kopel H.||Outpatient monitoring system|
|US5640953||Mar 31, 1995||Jun 24, 1997||Siemens Medical Systems, Inc.||Portable patient monitor reconfiguration system|
|US5642731||Dec 2, 1994||Jul 1, 1997||Informedix, Inc.||Method of and apparatus for monitoring the management of disease|
|US5642936||Jan 29, 1996||Jul 1, 1997||Oncormed||Methods for identifying human hereditary disease patterns|
|US5666487||Jun 28, 1995||Sep 9, 1997||Bell Atlantic Network Services, Inc.||Network providing signals of different formats to a user by multplexing compressed broadband data with data of a different format into MPEG encoded data stream|
|US5670711||Mar 8, 1996||Sep 23, 1997||Regents Of The University Of Minnesota||Portable rock strength evaluation device|
|US5675635||Jan 24, 1996||Oct 7, 1997||Sprint Communications Company L.P.||System and method for conducting poll at a processor associated with the originating switch|
|US5678562||Nov 9, 1995||Oct 21, 1997||Burdick, Inc.||Ambulatory physiological monitor with removable disk cartridge and wireless modem|
|US5678571||May 23, 1994||Oct 21, 1997||Raya Systems, Inc.||Method for treating medical conditions using a microprocessor-based video game|
|US5687322||Jun 1, 1995||Nov 11, 1997||Credit Verification Corporation||Method and system for selective incentive point-of-sale marketing in response to customer shopping histories|
|US5687717||Aug 6, 1996||Nov 18, 1997||Tremont Medical, Inc.||Patient monitoring system with chassis mounted or remotely operable modules and portable computer|
|US5687734||Oct 20, 1994||Nov 18, 1997||Hewlett-Packard Company||Flexible patient monitoring system featuring a multiport transmitter|
|US5704364||Nov 8, 1995||Jan 6, 1998||Instromedix, Inc.||Concurrent medical patient data and voice communication method and apparatus|
|US5704366||May 23, 1994||Jan 6, 1998||Enact Health Management Systems||System for monitoring and reporting medical measurements|
|US5704902||Sep 19, 1995||Jan 6, 1998||Headwaters Research & Development Inc||Handholdable massager having combination massaging and dual function two speed actuator pad|
|US5711297||Jan 30, 1996||Jan 27, 1998||First Opinion Corporation||Computerized medical advice system and method including meta function|
|US5715451||Jul 20, 1995||Feb 3, 1998||Spacelabs Medical, Inc.||Method and system for constructing formulae for processing medical data|
|US5715823||Sep 25, 1996||Feb 10, 1998||Atlantis Diagnostics International, L.L.C.||Ultrasonic diagnostic imaging system with universal access to diagnostic information and images|
|US5717913||Jan 3, 1995||Feb 10, 1998||University Of Central Florida||Method for detecting and extracting text data using database schemas|
|US5720733||Jul 22, 1996||Feb 24, 1998||Raya Systems, Inc.||Apparatus for determining and recording injection doses in syringes using electrical capacitance measurements|
|US5722418||Sep 30, 1994||Mar 3, 1998||Bro; L. William||Method for mediating social and behavioral processes in medicine and business through an interactive telecommunications guidance system|
|US5727153||Jun 6, 1995||Mar 10, 1998||Powell; Ken R.||Retail store having a system of receiving electronic coupon information from a portable card and sending the received coupon information to other portable cards|
|US5730124||Dec 14, 1994||Mar 24, 1998||Mochida Pharmaceutical Co., Ltd.||Medical measurement apparatus|
|US5732696||Jul 5, 1994||Mar 31, 1998||New York University||Polysomnograph scoring|
|US5732709||Jul 3, 1996||Mar 31, 1998||Enact Health Management Systems||System for monitoring and reporting medical measurements|
|US5734413||Nov 30, 1993||Mar 31, 1998||Thomson Multimedia S.A.||Transaction based interactive television system|
|US5752234||Aug 18, 1995||May 12, 1998||Patient Solutions||Method and apparatus for managing disposable medical supplies appropriate for a single patient visit|
|US5760771||Jul 17, 1996||Jun 2, 1998||At & T Corp||System and method for providing structured tours of hypertext files|
|US5772585||Aug 30, 1996||Jun 30, 1998||Emc, Inc||System and method for managing patient medical records|
|US5778882||Feb 24, 1995||Jul 14, 1998||Brigham And Women's Hospital||Health monitoring system|
|US5782814||Jul 22, 1996||Jul 21, 1998||Raya Systems, Inc.||Apparatus for determining and recording injection doses in syringes using electrical inductance|
|US5785650||Aug 9, 1996||Jul 28, 1998||Akasaka; Noboru||Medical system for at-home patients|
|US5791342||Sep 3, 1996||Aug 11, 1998||Telediagnostics Systems, Inc.||Medical data transmission system|
|US5792117||Jul 22, 1996||Aug 11, 1998||Raya Systems, Inc.||Apparatus for optically determining and electronically recording injection doses in syringes|
|US5793969||Jan 11, 1996||Aug 11, 1998||Neopath, Inc.||Network review and analysis of computer encoded slides|
|US5796393||Nov 8, 1996||Aug 18, 1998||Compuserve Incorporated||System for intergrating an on-line service community with a foreign service|
|US5802494||Aug 5, 1996||Sep 1, 1998||Kabushiki Kaisha Toshiba||Patient monitoring system|
|US5810747||Aug 21, 1996||Sep 22, 1998||Interactive Remote Site Technology, Inc.||Remote site medical intervention system|
|US5819735||Aug 15, 1996||Oct 13, 1998||Mansfield; Elizabeth A.||Device and method for monitoring dietary intake of calories and nutrients|
|US5822544||Apr 20, 1995||Oct 13, 1998||Executone Information Systems, Inc.||Patient care and communication system|
|US5822715 *||Apr 18, 1997||Oct 13, 1998||Health Hero Network||Diabetes management system and method for controlling blood glucose|
|US5825283||Jul 3, 1996||Oct 20, 1998||Camhi; Elie||System for the security and auditing of persons and property|
|US5827180||Nov 26, 1997||Oct 27, 1998||Lifemasters Supported Selfcare||Method and apparatus for a personal health network|
|US5828943||Apr 16, 1997||Oct 27, 1998||Health Hero Network, Inc.||Modular microprocessor-based diagnostic measurement apparatus and method for psychological conditions|
|US5835896||Mar 29, 1996||Nov 10, 1998||Onsale, Inc.||Method and system for processing and transmitting electronic auction information|
|US5840020 *||Feb 5, 1997||Nov 24, 1998||Nokia Mobile Phones, Ltd.||Monitoring method and a monitoring equipment|
|US5868669||Jan 9, 1997||Feb 9, 1999||First Opinion Corporation||Computerized medical diagnostic and treatment advice system|
|US5875432||Feb 15, 1997||Feb 23, 1999||Sehr; Richard Peter||Computerized voting information system having predefined content and voting templates|
|US5879163||Jun 24, 1996||Mar 9, 1999||Health Hero Network, Inc.||On-line health education and feedback system using motivational driver profile coding and automated content fulfillment|
|US5893077||Aug 23, 1995||Apr 6, 1999||Microsoft Corporation||Method and apparatus for generating and collecting a billing event object within an on-line network|
|US5893098||Dec 20, 1996||Apr 6, 1999||Dolphin Software Pty Ltd||System and method for obtaining and collating survey information from a plurality of computer users|
|US5897493||Apr 30, 1997||Apr 27, 1999||Health Hero Network, Inc.||Monitoring system for remotely querying individuals|
|US5899855||Jun 7, 1995||May 4, 1999||Health Hero Network, Inc.||Modular microprocessor-based health monitoring system|
|US5911687||Nov 12, 1996||Jun 15, 1999||Hitachi, Ltd.||Wide area medical information system and method using thereof|
|US5913310||Oct 29, 1997||Jun 22, 1999||Health Hero Network, Inc.||Method for diagnosis and treatment of psychological and emotional disorders using a microprocessor-based video game|
|US5918603||May 15, 1997||Jul 6, 1999||Health Hero Network, Inc.||Method for treating medical conditions using a microprocessor-based video game|
|US5920477||Jun 6, 1995||Jul 6, 1999||Hoffberg; Steven M.||Human factored interface incorporating adaptive pattern recognition based controller apparatus|
|US5933136||Dec 23, 1996||Aug 3, 1999||Health Hero Network, Inc.||Network media access control system for encouraging patient compliance with a treatment plan|
|US5941829||Oct 24, 1997||Aug 24, 1999||Instromedix, Inc.||Concurrent medical patient data and voice communication method and apparatus|
|US5961446||Aug 2, 1996||Oct 5, 1999||Tevital Incorporated||Patient terminal for home health care system|
|US5971922 *||Oct 16, 1998||Oct 26, 1999||Meidensha Electric Mfg Co Ltd||System and method for predicting blood glucose level|
|US5983217||Mar 21, 1997||Nov 9, 1999||At&T Corp||Apparatus and method for querying replicated databases|
|US5987471||Nov 13, 1997||Nov 16, 1999||Novell, Inc.||Sub-foldering system in a directory-service-based launcher|
|US5995969||Jan 2, 1998||Nov 30, 1999||Electronics And Telecommunications Research Institute||Integrated case repository meta model system for process methodology and integrated supporting method|
|US5997476||Oct 7, 1997||Dec 7, 1999||Health Hero Network, Inc.||Networked system for interactive communication and remote monitoring of individuals|
|US6001065||Mar 21, 1996||Dec 14, 1999||Ibva Technologies, Inc.||Method and apparatus for measuring and analyzing physiological signals for active or passive control of physical and virtual spaces and the contents therein|
|US6022315||Jul 11, 1997||Feb 8, 2000||First Opinion Corporation||Computerized medical diagnostic and treatment advice system including network access|
|US6022615||Jun 7, 1995||Feb 8, 2000||Markus Rettenbacher||Shaped part for use as a construction material|
|US6024281||Sep 22, 1997||Feb 15, 2000||Shepley; Kenneth James||Nutritional information system for shoppers|
|US6029138||Aug 15, 1997||Feb 22, 2000||Brigham And Women's Hospital||Computer system for decision support in the selection of diagnostic and therapeutic tests and interventions for patients|
|US6035328||Feb 17, 1998||Mar 7, 2000||Siemens Aktiengesellschaft||Medical therapeutic and/or diagnostic system|
|US6046761||Jun 26, 1998||Apr 4, 2000||Medcom Technology Associates, Inc||Interactive communication system for medical treatment of remotely located patients|
|US6049794||Dec 9, 1997||Apr 11, 2000||Jacobs; Charles M.||System for screening of medical decision making incorporating a knowledge base|
|US6050940||Jun 17, 1997||Apr 18, 2000||Cybernet Systems Corporation||General-purpose medical instrumentation|
|US6055314||Mar 22, 1996||Apr 25, 2000||Microsoft Corporation||System and method for secure purchase and delivery of video content programs|
|US6055487||May 20, 1997||Apr 25, 2000||Margery; Keith S.||Interactive remote sample analysis system|
|US6055506||Apr 25, 1997||Apr 25, 2000||Unitron Medical Communications, Inc.||Outpatient care data system|
|US6057758||May 20, 1998||May 2, 2000||Hewlett-Packard Company||Handheld clinical terminal|
|US6110148||Nov 18, 1997||Aug 29, 2000||Health Hero Network, Inc.||Capacitance-based dose measurements in syringes|
|US6138145||Jun 24, 1998||Oct 24, 2000||Nec Corporation||Method of electronic dialog between computers, computer for electronic dialog with counterpart computer, and storage medium storing electronic dialog program executable by computer|
|US6151586||Nov 21, 1997||Nov 21, 2000||Health Hero Network, Inc.||Computerized reward system for encouraging participation in a health management program|
|US6168563||Mar 17, 1999||Jan 2, 2001||Health Hero Network, Inc.||Remote health monitoring and maintenance system|
|US6177940||Sep 20, 1995||Jan 23, 2001||Cedaron Medical, Inc.||Outcomes profile management system for evaluating treatment effectiveness|
|US6189029||Sep 20, 1996||Feb 13, 2001||Silicon Graphics, Inc.||Web survey tool builder and result compiler|
|US6221012||Jan 6, 1995||Apr 24, 2001||Siemens Medical Electronics, Inc.||Transportable modular patient monitor with data acquisition modules|
|US6248065||Jan 19, 1999||Jun 19, 2001||Health Hero Network, Inc.||Monitoring system for remotely querying individuals|
|US6368273||Apr 28, 1999||Apr 9, 2002||Health Hero Network, Inc.||Networked system for interactive communication and remote monitoring of individuals|
|US6370513||Jun 28, 1999||Apr 9, 2002||Parasoft Corporation||Method and apparatus for automated selection, organization, and recommendation of items|
|US6436036||May 4, 1999||Aug 20, 2002||Weight Watchers (Uk) Limited||Process for controlling body weight|
|US6513532||Dec 23, 2000||Feb 4, 2003||Healthetech, Inc.||Diet and activity-monitoring device|
|EP0251520A2||Jun 8, 1987||Jan 7, 1988||Buddy Systems, Inc.,||Personal health monitor|
|EP0286456A1||Jan 20, 1988||Oct 12, 1988||Takio, S.A.||An electronic apparatus for medical diagnosis|
|EP0320749B1||Dec 6, 1988||Sep 25, 1996||ARCH DEVELOPMENT CORPORATION, The University of Chicago||Portable medical history-taking device|
|EP0461910B1||Jun 13, 1991||Mar 20, 1996||Sega Enterprises, Ltd.||Video game convertible to a television receiver|
|EP0653718A2||Nov 9, 1994||May 17, 1995||Müller & Sebastiani Elektronik-GmbH||Device and method for detecting measured date specific to the body|
|GB2218831A||Title not available|
|GB2225637A||Title not available|
|1||"Blood Glucose Monitors", Portable Health Device, (1988),vol. 17(9), pp. 253-271.|
|2||"Central Fetal Monitoring Systems ewith Optical Disk Storage", New Technology Brief, (Nov./Dec. 1988), vol. 2, No. 6, pp. 249-251.|
|3||"European Search Report", From 6858P005EP,(Mar. 27, 1998).|
|4||"How Flash Memory Works", Internet printout of URL address: http://www.howstuffworks.com/flash-memory4.htm, (Sep. 28, 2002),2 pages.|
|5||"Introducing the Next Generation of About Your Diabetes", U.S. Pharmacopcial Convention and American Diabetes Association, (1993).|
|6||"The description of the Tandy Radio Shack TRS-80 Model 100/102 device available at http://www.old-computers.com/museum/computer.asp?c=233", World Wide Web, (Feb. 13, 2004),1-3.|
|7||Anonymous, "Health Hero netowrk, inc. Receives First-Ever FDA Clearance for Connecting Medical Devices to Internet", PR Newswire, (Dec. 2, 1999),3 pages.|
|8||Billiard, A. , et al., "Telematic Transmission of Computerized Blood Glucose Profiles for IDDM Patients", Diabetes Care, (Feb. 1991), vol. 14, No. 2, pp. 130-134.|
|9||Bower, "Brain Clues to Energy-efficient Learning", Science News, (Apr. 1992),v 141; p. 215(1); Dialog: File 647, Acct# 12123949.|
|10||Bruce, "Health Hero Network CEO, CNNfn", Digital Jam, (Dec. 1, 1999),3 pages.|
|11||Bruce, et al., "The Effects of Sympathetic Nervous System Activation and Psychological Stress . . . ", Diabetologia, (1992),. ; ; 35 (9); 835-843; Dialog: File 5, Acc# 9629427.|
|12||Brunetti, P. , et al., "A Simulation Study on a Self-Tuning Portable Controller of Blood Glucose", The International Journal of Artifical Organs, (1993), vol. 16, No. 16, pp. 51-57.|
|13||Caprihan, A. , et al., "A Simple Microcomputer for Biomedical Signal Processing", IECI '78 Annual Conference Proceedings on Industrial Applications of Microprocessors, (Mar. 20, 1978), 18-23.|
|14||Cheng, Joe H., "PCT Search Report", (Jan. 11, 1996).|
|15||Douglas, A. S., et al., "Hand-Held Glucose Monitor and Recorder", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New Orleans, LA,(Nov. 1988),pp. 747-748.|
|16||Fabietti, P. G., et al., "Wearable System for Acquisition, Processing and Storage of the Signal from Amperometric Glucose Sensors", The International Journal of Artificial Organs, (1991),vol. 14, No. 3, pp. 175-178.|
|17||Finston, "Parent + Teacher = Healthy Child", Diabetes Forecast, (Apr. 1994),v47 n9; p. 26(5); Dialog: file 149, Acc# 15804228.|
|18||Fox, "Not My Type: Type B Behavior, Type I Diabetes Plus Stress Equals Blood Sugar Blues", Health, (Mar. 1988),v20 n3; pp. 22(1); Dialog: File 149, Acc#06397959.|
|19||Frieberger, Paul , "Video Game Takes on Diabetes Superhero "Captain Novolin" Offers Treatment Tips", San Francisco Examiner, (Jun. 26, 1992),Fourth Edition, Business Section B1.|
|20||Giuffrida, Antonio , et al., "Should We Pay the Patient? Review of Financial Incentives to enhance Patient compliance", Biomedical Journal, (1997), vol. 315, pp. 703-707.|
|21||Hauben, Jay R., "A Brief History of the Cleveland Free-Net", available at http://www.ais.org/~irh/acn7-1.a09.html, (1995),pp. 1-4.|
|22||Hauben, Jay R., "A Brief History of the Cleveland Free-Net", available at http://www.ais.org/˜irh/acn7-1.a09.html, (1995),pp. 1-4.|
|23||Hauser, Thomas , et al., "Will Computers Replace or Complement the Diabetes Educator?", The Medical Journal of Australia, (Oct. 5, 1992),vol. 157, 489-491.|
|24||Horio, Hiroyuki, et al., "Clinical Telecommunication Network System for Home Monitoring", Medical & Biological Engineering & Computing, (Mar. 1994), vol. 32, 227-230.|
|25||Hunter, "Technological Advances in Bedside Monitoring: Biosensors", Archives and Laboratory Medicine, (Jul. 1987),pp. 633-636.|
|26||Kauffmann, Francine , et al., "Epidermiological Study of the Genetics and Environment of Asthma, Bronchial Hyperresponsiveness and Atopy", Am. J. Respir. Crit. Care Med., (1997), vol. 156, pp. S123-S129.|
|27||Kaufman, Steven , "B., The Learning Game", Nation's Business, (Nov. 1993).|
|28||Kuykendall, V G., et al., "Assessment of Self-Monitored Blood Glucose results Using a Reflectance Meter with Memory and Microcomputer", Symposium on Computer Applications in Medical Care, (Jan. 1981),vol. 70, pp. 98 -102.|
|29||Lacyk, John , "PCT Search Report", (Jun. 12, 1997).|
|30||Latman, N. S., "Evaluation of Electronic, Digital Blood Glucose Monitors", Biomedical Instrumentation and Technology, (1991),vol. 25, No. 1, 43-49.|
|31||Laughton, Miles E., "A Portable Microcomputer for Long-Term Physiological Monitoring in the Home and Work Environment", Medical Monitoring in the Home and Work Environment, (1990),pp. 47-57.|
|32||Leyerle, Beverly J., et al., "The PDMS as a Focal Point for Distributed Patient Data", International Journal of Clinical Monitoring and Computing, (1988), vol. 5, pp. 155-161.|
|33||Makikawa, M. , et al., "Microprocessor-Based Memory Device for Ambulatory Heart Rate and Physical Activity Recording", Methods of Information in Medicine, (1994), vol. 33, No. 1, pp. 94-96.|
|34||Marsh, David G., "Approaches Toward the Genetic Analysis of Complex Traits Asthma and Atopy", Am. J. Respir.Crit.Care Med., (1997),vol. 156, pp. S-133-S138.|
|35||Martinez, Fernando D., "Complexities of the Genetics of Asthma", Am. J. Respir. Crit. Care Med., (1997),vol. 156, pp. S117-S122 .|
|36||Mazzola, et al., "Video Diabetes: A Teaching Tool for Children with Insulin-Dependent Diabetes", Proceedings-7th Annual Symposium on Computer Applications in Medical Care; Washington, DC; Dialog:, (Oct. 1983),File 8, Acc# 01624462.|
|37||Mazzola, et al., "Video Diabetes: A Teaching Tool for Children with Insulin-Dependent Diabetes", Proceedings—7th Annual Symposium on Computer Applications in Medical Care; Washington, DC; Dialog:, (Oct. 1983),File 8, Acc# 01624462.|
|38||Meissner, et al., "Building an Integrated Clinical and Research Network", Proceedings of the SPIE, (Oct. 24, 1995),vol. 2618, p. 92 99.|
|39||Moore, "New Applications Break Through Storage Boundaries", Computer Technology Review, (Oct. 1999),vol. 19, No. 10, p. 1.|
|40||Pfeiffer, E. F., "The Glucose Sensor: The Missing Link in Diabetes Therapy", Hormone and Metabolic Research, (1990),vol. 24, Suppl., pp. 154-164.|
|41||Poitout, V. , et al., "A Glucose Mointoring System for On Line Estimation in Man of Blood Glucose Concentration Using a Miniaturized Glucose Sensor Implanted in the Subcutaneous Tissue and a Wearable Control Unit", Diabetologia, (1993),vol. 36, pp. 658-663.|
|42||Potter, David , "Fundamentals of PC-Based Data Acquisition", Sensors, (Feb. 1994),pp. 12-20.|
|43||Reis, Howard , "Telemedicine: Transmitting Expertise to the Point of Care",Proceedings: Toward an Electronic Patient Record, (1997),pp. 248-256.|
|44||Roberts;, "Diabetes and Stress: A Type A Connection?", Psychology Today, (Jul. 1987),v. 21; pp. 22(1); Dialog: File 149, Acc# 05038381.|
|45||Rose, V. L., et al., "Decentralized Testing for Prothrombin Time and Activated Partial Thromboplastin Time Using a Dry Chemistry Portable Analyser", Archives of Pathology and Laboratory Medicine, (Jun. 1993),vol. 117, pp. 611-617.|
|46||Schenkels, P. , "Supplementary European Search Report", Application No. EP 97 92 2716,(Mar. 11, 2002).|
|47||Schork, Nicholas J., "Genetics of Complex Disease", Am. J. Respir. Crit. Care Med., (1997),vol. 156, pp. s103-S109.|
|48||Schrezenmeir, J. , et al., "Computer Assisted Insulin Dosage Adjustment-Perspective for Diabetes Control", Hormone and Metabolic Research, Supplement Series, (1990),vol. 24, pp. 116-123.|
|49||Schrezenmeir, J. , et al., "Computer Assisted Insulin Dosage Adjustment—Perspective for Diabetes Control", Hormone and Metabolic Research, Supplement Series, (1990),vol. 24, pp. 116-123.|
|50||Shandle, Jack , "Who Will dominate the desktop In the 90s?", Electronics, (Feb. 1990),pp. 48-50.|
|51||Shults, Marc C., et al., "A Telemetry-Instrumentation System for Monitoring Multiple Subcutaneously Implanted Glucose Sensors", IEEE Transactions on Biomedical Engineering, (Oct. 1994),vol. 41, No. 10, pp. 937-942.|
|52||Soeldner, J. S., "Treatment of Diabetes Mellitus by Devices", The American Journal of Medicine, (Jan. 1981),vol. 70, 183-194.|
|53||Updike, Stuart J., et al., "Laboratory Evaluation of New Resusable Blood Glucose Sensor", Diabetes Care, (Nov./Dec. 1988),vol. 11, No. 10, pp. 801-807.|
|54||Vallera, D. A., et al., "Accuracy of Portable Blood Glucose Monitoring", American Journal of Clinical Pathology, (1991),vol. 95, No. 2, pp. 247-252.|
|55||Voelker, Rebecca , "Shoe Leather Therapy is Gaining on TB", Jama, (Mar. 13, 1996),vol. 275, 743.|
|56||Wyatt, J. C., "Clinical Data Systems, Part 2: Components and Techniques", Lancet, ( Dec. 1994),vol. 344, No. 8937, pp. 1609-1614.|
|57||Yoshizawa, Daisuke , et al., "The Development of a Data Processing System with Personal Computer MSX Standard System for Flow Injection Analysis", Journal of Flow Injection Analysis, (1988),V. 5, No. 2. pp. 101-110.|
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|US8801610 *||Jul 24, 2009||Aug 12, 2014||Dexcom, Inc.||Signal processing for continuous analyte sensor|
|US8954373 *||Mar 29, 2012||Feb 10, 2015||Dreamed Diabetes Ltd.||Monitoring device for management of insulin delivery|
|US9107623||Apr 15, 2009||Aug 18, 2015||Dexcom, Inc.||Signal processing for continuous analyte sensor|
|US9192328||Sep 23, 2009||Nov 24, 2015||Dexcom, Inc.||Signal processing for continuous analyte sensor|
|US9351668||Oct 12, 2009||May 31, 2016||Dexcom, Inc.||Signal processing for continuous analyte sensor|
|US9364173||Sep 23, 2009||Jun 14, 2016||Dexcom, Inc.||Signal processing for continuous analyte sensor|
|US9420965||Jul 1, 2011||Aug 23, 2016||Dexcom, Inc.||Signal processing for continuous analyte sensor|
|US20090299162 *||Dec 3, 2009||Dexcom, Inc.||Signal processing for continuous analyte sensor|
|US20110144463 *||Feb 26, 2009||Jun 16, 2011||Benny Pesach||Device, system and method for modular analyte monitoring|
|US20120246106 *||Sep 27, 2012||Mor Research Applications Ltd.||Monitoring device for management of insulin delivery|
|US20120265043 *||Oct 18, 2012||Abbott Diabetes Care Inc.||Method and System for Providing Integrated Analyte Monitoring and Infusion System Therapy Management|
|US20130311515 *||Nov 24, 2011||Nov 21, 2013||Max D. Van Gelder||Device for controlling data that is in particular relevant to diabetes|
|US20150007107 *||Jun 27, 2013||Jan 1, 2015||Lifescan Scotland Limited||Analyte-measurement system recording user menu choices|
|U.S. Classification||600/309, 128/920, 705/3, 600/365, 702/19, 600/300|
|International Classification||A61N2/00, A61B5/05, G06F17/00, A61B10/00|
|Cooperative Classification||A61B5/411, A61B5/6896, A61B5/14532, G06F19/3475, G06F19/3456, A61B5/0002, G06F19/3481, G06F19/3437, A61B5/7275, G06F19/325|
|European Classification||G06F19/34H, A61B5/68F8, G01N27/327B, G06F19/34N, A61B5/41B, A61B5/72M2|