CA2314100A1 - An integrated sleep apnea screening system - Google Patents

An integrated sleep apnea screening system Download PDF

Info

Publication number
CA2314100A1
CA2314100A1 CA002314100A CA2314100A CA2314100A1 CA 2314100 A1 CA2314100 A1 CA 2314100A1 CA 002314100 A CA002314100 A CA 002314100A CA 2314100 A CA2314100 A CA 2314100A CA 2314100 A1 CA2314100 A1 CA 2314100A1
Authority
CA
Canada
Prior art keywords
apnea
pattern
housing
sleep
respiratory
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA002314100A
Other languages
French (fr)
Inventor
Noam Hadas
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
S L P Ltd
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of CA2314100A1 publication Critical patent/CA2314100A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4818Sleep apnoea
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/087Measuring breath flow
    • A61B5/0878Measuring breath flow using temperature sensing means
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/113Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing

Abstract

This invention is a method, and device suitable for use without professional medical supervision for screening for sleep apnea. All elements of the device are housed in a small, flexible, plastic housing (8) which is placed on the users philtrum. A thermistor (2, 7) acquires data describing the respiratory pattern. A processor (1) analyzes the respiratory pattern in real time, and outputs a study result, describing the occurrence of any episodes of apnea, to a non-volatile colored marker (6) on the plastic housing (8). A flashing LED (5) display informs the user when placement of the device is appropriate. A lithium battery (3), which powers all elements of the device, is activated by a pull-tab (4) removed by the user.

Description

An Integrated sleep apnea screening system.
FIELD AND BACKGROUND OF THE INVENTION
S The present invention relates to medical monitoring devices and, in particular, it relates to a monitor for the detection of sleep apnea.
It is known that sleep related breathing disorders are a common medical problem. Two common sleep pathology syndromes are Obstructive Sleep Apnea (OSA) and Central Sleep Apnea (CSA).
Obstructive Sleep Apnea (OSA) occurs when the upper airway (the nose, mouth or throat) become obstructed in some way during sleep, and is usually accompanied by a decrease in the oxygen saturation of the blood (Sp02).
Snoring indicates an intermittent obstruction, which at times may become complete, stopping air flow. Apnea (the cessation of breathing) may occur hundreds of times during one night of sleep, leading to severe sleep disruption and excessive daytime somnolence. As such, the patient may easily fall asleep during working hours, such as when the patient is driving a car or a truck.
Many commercial trucking firms thus require that their drivers undergo sleep studies to determine if they suffer from OSA. Furthermore, OSA may cause heart problems such as cardiac arrhythmias and Cor Pulmonale.
Central Sleep Apnea Syndrome (CSA), in contrast, occurs due to a defect in central nervous system control of the respiratory drive, and is most commonly seen in patients with neurological disorders affecting respiratory control and in the elderly. CSA may also result in frequent awakenings and their associated impact on daytime performance.
Definitive diagnosis of these respiratory-sleep pathologies is currently achieved by means of an in-lab, full night, formal sleep study. In such a study, the patient is required to sleep for a whole night in a controlled environment (a "sleep laboratory") while connected to multiple monitoring devices, which continuously measure such physiological parameters as respiratory effort, nasal and oral airflow, brain electrical activity (EEG), muscle electrical activity (EMG), heart rate and rhythm (ECG), and blood oxygen saturation. These parameters are recorded on paper or stored in a memory bank for later analysis.
A trained sleep technician is required to oversee the study so as to ensure that all parameters are recorded properly. The data is then analyzed, either manually or by specialized software, to produces a "hypnogram" which describes the nature of the patients sleep. Indices in the hypnogram, such as an "apnea index"
and a "leg movement index", are then used, by a sleep specialist, to diagnose the patients pathology.
The formal sleep study as a means of diagnosing and following-up patients with respiratory related sleep problems, however, suffers from several deficiencies and limitations:
1. The study requires the use of multiple medical monitoring devices and the continuous presence of a trained technician. It is thus labor intensive to perform, and requires the use of multiple, expensive, resources.
2. The patient is asked to sleep in a non natural sleep environment, which may itself affect his sleep patterns.
3. The patient is inconvenienced by having to be in a hospital setting for a night.
4. There is no patient privacy.
As such, sleep laboratories are a limited resource, each containing only a limited number of beds. This is particularly problematic as studies are often conducted on "suspicious" patients, in whom the outcome is frequently negative. In such patients, for whom there was no need for the study at all, a limited screening study may have been sufficient to exclude sleep pathology.
The study price often prohibits repeating studies on a regular basis for purposes of patient follow-up.
In order to overcome some of these drawbacks, the performance of home studies by means of ambulatory systems has become popular. These studies utilize miniature ambulatory recorders, and are limited to a relatively small number of information recording channels. The patient is prepared for the study at the sleep lab, and returns home with all sensors appropriately attached.
Alternatively, a technician may come to the patients home, or the patient may attach the sensors by himself after receiving appropriate instruction from a technician. The study is then conducted in the patient's home, as he sleeps in his own bed, and the recorded data stored in a memory device. In the morning the recorder and memory device are returned to the sleep lab for data downloading to an analysis station. Some of these ambulatory systems can correct for some data recording problems, by adjusting the gain or filtering during data recording or when post-processing the data. Alternatively, the study can be monitored from the sleep lab via a modem.
Although ambulatory sleep-apnea monitoring systems are much more convenient to the patient, and considerably less expensive than formal, in-lab, sleep studies, all current ambulatory sleep monitoring systems suffer from several deficiencies:
1. Performance of the study still requires the participation of a trained technician (for the purposes of either attaching the monitoring device or instructing the patient how to do so) and the participation of a formal sleep laboratory (for the purposes of downloading and analyzing the test results, and maintaining the equipment necessary for the performance of the test). Such tests are thus still labor and resource intensive.

2. As analysis of the recorded data is performed off-line in the sleep laboratory, the ambulatory monitoring device must be able to store all registered data in a suitable memory storage device, until such data can be downloaded. Alternatively, if the data is 5 relayed to the sleep laboratory in real time, a modem and telephone line are necessary. Current ambulatory devices are therefore relatively complex and expensive to manufacture. As such, ambulatory studies are still too expensive to perform on a regular basis (currently approximately $500 per study), thus precluding their widespread use as a screening tool or for purposes of frequent patient follow-up. In addition, the cost of such studies does not justify their use on "difficult" patients, such as mental health patients or small children, in whom the likelihood of technical failure of the study is high.
There is therefore a need for a sleep-apnea screening system which is suitable for widespread use for patient screening and follow-up. Such a system should be sufficiently simple to implement as to allow patients to perform the study at home, without the need for assistance from a trained technician. In addition, such a system should provide the patient with an easily understandable result at the end of the study, without the need for data processing at a sleep laboratory, and without the need for interpretation of the result by a physician or technician. Finally, such a system should be sufficiently inexpensive as to make multiple and frequent studies practical to finance.
SUMMARY OF THE INVENTION
The present invention is an ambulatory sleep-apnea screening system.
The invention integrates a minimal data collection and analysis system into a disposable, single use device that achieves data collection and analysis in real time, and outputs the study result in an easily understood format immediately following the study.
The entire system is incorporated into a single small, flexible, plastic unit which can be easily positioned, or placed, under the patients nose, that is, upon the patients philtrum. The system is powered by a lithium battery, which is irreversibly activated by means of the patient pulling on a tab. Once activated, a respiration detector (such as that which measures temperature differences in an airflow, by which is meant a flow of inhaled and exhaled nasal or oral air) inputs data describing the pattern of respiration into a micro-processor, via an analog to digital converter. A flashing LED display indicates to the user that the device is correctly positioned. A software module detects the absence of hot airflow for a predetermined period - indicating apnea. Apnea duration is measured, normal breaths between apneas are counted, and, together with real-time clock information, the presence, and severity of, episodes of apnea is documented. Data can be sampled continuously, or in segments each a few minutes long, so as to conserve battery power. After a predefined period of time, non volatile output flags (in the form of heat sensitive colored dots) are set by the software. Once activated, the output flags undergo a permanent color change. As such, they produce an easily read hard copy of the study results, informing the user whether significant apnea was detected and whether a physician need be consulted. Hereinafter, output flags which undergo a permanent change in color when activated by heat are referred to as "heat sensitive permanent color display elements".
The integration, onto a respiratory sensor, of a sleep apnea screening system which is capable of analyzing respiratory data in real time and generating an immediate report thereof, is unique to the current invention. By "real time" is meant that the processing of the respiratory data and the sensing of the respiratory pattern occur during the same time interval, rather than the processing occurring after all respiratory sensing has been completed.
As data is analyzed in real time, the need for a large memory storage unit to store data for later analysis, and the need for complex downloading hardware, are obviated. This feature allows the entire system to be manufactured in a small and inexpensive format, and provides the user with the result of the study immediately upon conclusion of the study, without the need for data processing and analysis by medical professionals at a sleep laboratory.
Furthermore, as the power source, processor, and display mechanism of the device are all integrated with the respiratory sensor into a small, single, unit, without the need for cables or wires connecting these components to each other, and as an easily seen flashing light confirms to the user that placement and operation of the device are correct, the device is simple and straightforward to use. The device can thus be operated without supervision by trained medical professionals. Accordingly, the cost per study is sufficiently low as to justify performing studies frequently for screening purposes (whenever there is even a slight chance of true pathology being present) or for regular patient follow-up.
As their are no cables or wires connecting the respiratory sensor with the rest of the device, the possibility that the sensor might be pulled of off the users face, due to the cable becoming entangled while the user is asleep, is obviated.
It is an object of the current invention to provide a sleep apnea screening system which can be easily and reliably used by a patient without the need for professional supervision.
It is a further object of the current invention to provide a sleep apnea screening system which does not require the use of complex data storage and analysis hardware.
It is an additional object of the current invention to provide a sleep apnea screening system which is sufficiently simple and inexpensive as to facilitate performance of multiple sleep apnea screening studies on the same patient, on unreliable patents, or on patients with a low likelihood of having real pathology.

It is a yet further object of the current invention to provide a sleep apnea screening system which allows the study to be performed in the patients natural sleep environment It is a yet further object of the current invention to provide a sleep apnea screening system which does not infringe patient privacy.
According to the teachings of the present invention there is provided a sleep apnea screening system, including a respiration sensor, for sensing a respiratory pattern, at a location on a respiratory tract; a processor, for analyzing the respiratory pattern to determine the presence of a pattern of apnea, and for correlating the pattern of apnea with a diagnosis; a display, for displaying the diagnosis; a power source, for powering the respiration sensor, the processor, and the display; and a housing, for housing the processor, the display, and the power source, on the respiration sensor, the housing being placeable at the location on the respiratory tract. There is also provided a sleep apnea screening method, including the steps of placing a housing at a location on a respiratory tract; sensing a respiratory pattern at the housing during a time interval; processing the sensed respiratory pattern to detect the presence of a pattern of apnea, the processing occurring during the time interval;
correlating the pattern of apnea with a diagnosis, the correlating occurring during the time interval; and displaying the diagnosis on the housing.

BRIEF DESCRIPTION OF THE DRAWINGS
The invention is herein described, by way of example only, with reference to the accompanying drawings, wherein:
FIG. 1 is a line drawing of the physical structure of an apnea screening 5 system;
FIG. 2 is a schematic depiction of the structure of an apnea screening system;
FIG. 3 is a block diagram of the data flow within the processor of an apnea screening system; and 10 FIG. 4 is a diagram of the positioning of an apnea screening system on the face of a user.
DESCRIPTION OF THE PREFERRED EMBODIMENTS
The present invention is a sleep apnea screening system, integrated on an I S airflow sensor.
The principles and operation of a sleep apnea screening system, according to the present invention, may be better understood with reference to the drawings and the accompanying description.
Referring now to the drawings, Figure 1 is a line drawing of the overall structure of the current invention. As can be seen, a thin, flexible housing $, shaped like a thin strip, serves as a base for the system. In the preferred embodiment, housing 8 is made of a flexible plastic film. Housing 8 is shaped such that it can be attached between the nose and the upper lip of the user, such that protrusions 9 and 10 will overly the two nostrils and the mouth, respectively. Housing 8 includes two larger circles, 11 and 12, each approximately 1.5" in diameter, which house electronic components of the system. A double sided adhesive foam backing (not shown), covering the entire area of the back of housing 8, allows for the comfortable attachment of the device to the face of the user.
A power source 3, in the form of a flat lithium battery, is housed in circle 12. Power source 3 powers the functioning of all elements of the sleep apnea monitoring system. The negative contact of power source 3 is insulated from a conductive electrode (not shown) on housing 8 by a pull-tab 4. When tab 4 is pulled out by the user, contact is made between the negative contact of power source 3 and the electrode completing the electrical circuit, and operation of the system commences.
Two nasal NTC (Negative Temperature Coefficient) thermistors 2 and an oral NTC thermistor 7 are located on protrusions 9 and 10 respectively, such that they are located inside the air streams emanating from nose and mouth when housing 8 is properly positioned on the face of the user. Examples of thermistors suitable for use as nasal and oral thermistors 2 and 7 are SMT
components (Thermometrics Inc., Tounton, UK). Alternatively, thermistors 2 and 7 can be replaced with other respiration sensors, such as humidity sensors, pressure sensors, or respiration sounds detectors. Thermistors 2 and 7 are connected in series to the input of a processor (CPU) 1, which is housed in circle 11. The flow of cyclically hot and cold air streaming over thermistors and 7 (during expiration and inspiration respectively) causes a cyclical change in resistance within thermistors 2 and 7. This changing resistance is registered by CPU 1 as breathing data. In the preferred embodiment, CPU 1 is a RISC
processor running a continuos monitoring and scoring program, which will be detailed below. CPU 1 analyzes the received respiratory data in real time, and reaches one of several possible predefined study conclusions.
A LED display 5 is located on housing 8 such that it can be easily seen by the user, when looking in a mirror, once the system has been attached to the face of the user and operation commenced. LED 5 is operative to flash with each breath taken by the user, so as to indicate that proper placement of thermistors 2 and 7 has been achieved ands that the system is functioning properly.
When the sleep apnea study is complete, CPU 1 issues a command to flow an electric current through one (or more) non-volatile markers 6. In the preferred embodiment, each one of markers 6 comprises a miniature heating element, and a coating of a heat sensitive material. When current is passed though one of the elements it heats up, inducing a change in the color of the coating material (such as rendering the coating material permanently black).
This color change is permanent, even after cooling down of the element.
Hereinafter, such markers are also referred to as "display elements". The choice of which of markers 6 to activate depends on the study conclusion, as determined by CPU 1. Each non-volatile marker 6 corresponds to one of several possible diagnoses. By "diagnoses" is meant possible study outcomes describing the degree of severity of apnea and recommended courses of action to be taken by the user in response thereto, for example:
1 ) Severe Apnea detected - must refer to a sleep lab 2) Medium Apnea detected - must .refer to a sleep lab 3) Mild Apnea detected - Advised to consult your GP.
4) Possible problem - consult a physician, 5) No problem detected 6) Bad data - Perform a new study (if, for example, apneas lasting longer than 2 minutes were detected).
In FIG. 2, a simplified block diagram of the device is shown.
Thermistors 2 and 7 input flow data to a signal conditioner and A/D (analog to digital) converter 13, which may be part of CPU 1. The resultant digital data stream is input to CPU l, which runs specialized data acquisition and analysis software. Each time a breath is sensed by thermistors 2 or 7, a command is output to LED 5, which flashes once. When a conclusion is reached at the end of the study, CPU 1 outputs a command to one of non-volatile markers 6. The entire system is powered by power source 3.

In normal operation, after switching the device on by pulling out tab 4, the user stands in front of a mirror, attaches the sensor under his nose and over his cheeks, and breathes through his nose and then through his mouth. If LED
flashes with each breath, the user knows that proper placement and operation 5 of the device has been achieved. The user then waits approximately thirty minutes prior to going to sleep, during which time the device collects normal data, that is, respiratory data without episodes of apnea, over the course of several minutes. The user then goes to sleep. CPU 1 resumes collecting and processing data automatically after 1 hour, analyzes breathing patterns in real time for several minutes, and then enters a sleep mode for approximately 30 minutes.This cycle is then repeated several times, until CPU 1 reaches a conclusion as to whether sleep apnea was detected and estimates its severity, or until more than 5 hours have passed since the time that power source 3 was activated. CPU 1 then outputs the analysis result to non-volatile indicators 6.
Upon awakening in the morning, the user checks to see which of indicators 6 have been activated, and is thus informed of the result of the study. In the event that significant apnea was detected during the study, the user is advised (by indicator 6) to consult with a physician or sleep clinic for further investigation.
The device, with it's permanent color-coded study outcome, can be kept for later reference.
FIG. 3 describes the data flow within CPU 1 of the sleep apnea screening system.

Data in from thermistors 2 and 7 is smoothed and converted to digital format by A/D converter l3.The resultant digital data is input to a breath/apnea detector 14. Apnea detector 14 is a software module that monitors the data generated by thermistors 2 and 7, reflecting temperature differences caused by 5 cold air being inhaled and hot air being exhaled. Apnea detector 14 locates the maximum and minimum registered temperatures, and calculates the difference between those values, which approximates the volume of inspired air. Apnea detector 14 also calculates the time from one maximum temperature value to the next. After processing several cycles during the thirty minute period prior to 10 the user falling asleep (i.e. the period of no apnea), a maximum time between maximum temperature values is determined, and defined as the maximum normal time interval between breaths. In addition, a minimum percentage difference between maximum and minimum temperature values for one respiratory cycle is determined, and defined as the minimum normal peak-to-1 S peak value of a breath. If the registered difference between the maximum and minimum temperatures of one cycle is less than the minimum normal peak-to-peak value, a low flow state can be defined as being present, while if the registered difference is zero, a zero flow state can be defined as being present.
The condition of zero flow and undetectable rhythmic temperature pattern indicates the state of apnea, and this state is counted as a real apneac episode by an apnea counter 17 if it lasts for more than 10 seconds.

Apnea detector 14 thus locates local minima and maxima for each respiratory cycle, calculates the time from the last maxima to the current maxima, and calculates the peak to peak value of the current breath cycle. If the time from last breath is more than a prescribed value (typically 10 sec), or the peak-to-peak value is less than a prescribed value (typically 30%), an apnea mark is issued by apnea detector 14 and input to apnea counter 17. The number of normal breaths during the study period are counted by a normal breath counter module 15. The duration of each apneac episode is measured by an apnea duration timer 18. Apnea duration timer 18 commences timing once cessation of airflow is detected, and stops timing as soon as airflow resumes.
This module also calculates the mean and standard deviation for all recorded apneac episodes during the study. The "accumulated apnea time", meaning the total number of rriinutes in apnea state during the course of the study, is calculated by an accumulated apnea timer 16. LED 5 is activated by apnea detector 14 via a LED driver 20 whenever a normal respiratory cycle is detected, and flashes.
The above described process is repeated several times, under the command of a cycle timer 18. Cycle timer 18 runs the data collection and analysis software in epochs of several minutes each every half hour, and then may switch CPU 1 to a sleep mode, in order to conserve battery power.
Decision integrator 19 compares the data for each epoch with all prior epoch data, and when "convergence" of data (by which is meant approximately equivalent apnea behavior in several epochs) is detected, the data acquired during the study is assumed to be a reliable depiction of reality. When decision integrator 19 detects convergence of values, or when cycle timer 18 issues a command to decision integrator 19 after a predefined maximum period of time has elapsed (such as five hours), decision integrator 19 accesses all data stored in apnea counter 17, apnea duration timer 18, and accumulated apnea timer 16.
Decision integrator 19 then compares the number and nature of apneac episodes detected to a predefined "diagnostic table" which categorizes all apnea patterns as falling into one of several diagnostic categories. Each diagnostic category corresponds to a particular non-volatile marker 6, which is activated by decision integrator 19 if the study is defined as falling into its corresponding diagnostic category. Based on the accumulated apnea time (as determined by accumulated apnea timer 16), the total number of apneac episodes per hour (as determined by apnea counter 17), and the breathing rate (as derived from the total breath count divided by the length of the study), decision integrator 19 activates one of the following markers 6:
"No problem" marker - no apnea detected.
"Minor problem" marker - average 1-5 apneas per hour.
"Moderate problem" marker - average 6-10 apneas per hour.
"Severe problem" marker - average over 10 apneas per hour.
"Bad study" marker- apneas lasting longer than 120 seconds detected, or a change of normal respiration amplitude over time of over 50% (poor steady state values), or a lack of normal respiration pattern during the first ten minutes after turn-on.
As the markers retain their appearance indefinitely, the device can be kept indefinitely as a medical record, and test results can be compared from study to study.
It will be appreciated that the invention as described herein may be supplemented in several ways, without departing from the spirit of the invention. For example, a heat sensitive element, to sense skin temperature during the study, may be incorporated into the device. This element would indicate if the device was removed during the night, prior to the end of the study. In addition, a light sensor may be incorporated into the device so as to determine that the lights were switched off during the study, as a fraud detection mechanism.
FIG. 4 illustrates the preferred positioning of the device of the present invention on the face of the user. The device is positioned between the nose and the upper lip, covering the philtrum. In the preferred embodiment the device is held in place by double sided adhesive tape, although in alternative embodiments any mechanism suitable for securely holding an object against the face may be used, such as adjustable straps 21. As illustrated, protrusions 9 are positioned in proximity to the nares, protrusion 10 over the mouth, and circles 11 and 12 over the cheeks of the user.

As a very low cost screening method, the device of the current invention may have several applications:
1. Follow-up of sleep apnea patients after dietary treatment, surgery, CPAP treatment, fitting of an anti-snoring oral appliance, or a change is sleeping posture.
2. Screening infants for higher risk of Sudden Infant Death Syndrome. (SIDS), by detecting non-regular breathing pattern.
3. Screening for candidates for a full feature sleep study.
4. Screening of applicants for high risk jobs like truck-driving or shift-working.
There has thus been described a sleep apnea screening system which can be easily and reliably used without the need for professional supervision or the use of complex data storage and analysis hardware. The system is sufficiently simple and inexpensive as to facilitate performance of multiple sleep apnea screening studies on the same patient, on unreliable patents, or on patients with a low likelihood of having real pathology. The system allows the study to be performed in the patients natural sleep environment, and does not infringe patient privacy.

Claims (14)

WHAT IS CLAIMED IS:
1. A sleep apnea screening system, comprising a) a respiration sensor, for sensing a respiratory pattern, at a location on a respiratory tract;
b) a processor, for analyzing said respiratory pattern to determine the presence of a pattern of apnea, and for correlating said pattern of apnea with a diagnosis;
c) a display, for displaying said diagnosis;
d) a power source, for powering said respiration sensor, said processor, and said display; and e) a housing, for housing said processor, said display, and said power source, on said respiration sensor, said housing being placeable at said location on said respiratory tract.
2. The system of claim l, wherein said respiration sensor includes a thermistor.
3. The system of claim 1, wherein said location is a philtrum.
4. The system of claim 1, wherein said diagnosis is a degree of severity of apnea.
5. The system of claim 1, wherein said power source is a battery.
6. The system of claim 1, wherein said display is a heat sensitive permanent color display element.
7. The system of claim 1, wherein said housing is a flexible plastic unit.
8. The system of claim 1, wherein said processor comprises a) an analog to digital converter, for converting said sensed respiratory pattern into a digital signal;
b) an apnea detector, for detecting episodes of apnea in said digital signal;
c) an apnea duration timer, for timing the duration of said episodes of apnea;
d) an apnea counter, for counting the number of said episodes of apnea;
e) a normal breath counter, for counting the number of normal breaths in said digital signal;
f) a decision integrator, for i) generating a description of a pattern of apnea from said number of episodes of apnea, said duration of episodes of apnea, and said number of normal breaths, ii) correlating said pattern of apnea with a diagnosis, and iii) informing said display to display said diagnosis;
and g) a timer, for initiating and terminating operation or said analog to digital converter, said apnea detector, said apnea duration timer, said apnea counter, said normal breath counter, and said decision integrator.
9. A sleep apnea screening method, comprising the steps of a) placing a housing at a location on a respiratory tract;
b) sensing a respiratory pattern at said housing during a time interval;
c) processing said sensed respiratory pattern to detect the presence of a pattern of apnea, said processing occurring during said time interval;
d) correlating said pattern of apnea with a diagnosis, said correlating occurring during said time interval; and e) displaying said diagnosis on said housing.
10. The method of claim 9, wherein said location is a philtrum.
11. The method of claim 9, wherein said sensing of said respiratory pattern is achieved by sensing a change in temperature of an airflow.
12. The method of claim 9, wherein said processing and said correlating are achieved by a processor located on said housing.
13. The method of claim 9, wherein said displaying is achieved by inducing a permanent color change in a display element on said housing.
14. The method of claim 9, wherein said housing is a flexible plastic unit.
CA002314100A 1998-01-08 1999-01-05 An integrated sleep apnea screening system Abandoned CA2314100A1 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
IL12287598A IL122875A0 (en) 1998-01-08 1998-01-08 An integrated sleep apnea screening system
IL122,875 1998-01-08
PCT/IL1999/000008 WO1999034864A1 (en) 1998-01-08 1999-01-05 An integrated sleep apnea screening system

Publications (1)

Publication Number Publication Date
CA2314100A1 true CA2314100A1 (en) 1999-07-15

Family

ID=11071067

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002314100A Abandoned CA2314100A1 (en) 1998-01-08 1999-01-05 An integrated sleep apnea screening system

Country Status (8)

Country Link
US (1) US6368287B1 (en)
EP (1) EP1044037B1 (en)
JP (1) JP3568894B2 (en)
AU (1) AU734719B2 (en)
CA (1) CA2314100A1 (en)
DE (1) DE69930720T2 (en)
IL (1) IL122875A0 (en)
WO (1) WO1999034864A1 (en)

Families Citing this family (139)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6004225A (en) * 1997-01-21 1999-12-21 Owens; Timothy M. Golf ball
US6142950A (en) * 1998-12-10 2000-11-07 Individual Monitoring Systems, Inc. Non-tethered apnea screening device
US6477410B1 (en) * 2000-05-31 2002-11-05 Biophoretic Therapeutic Systems, Llc Electrokinetic delivery of medicaments
US6527711B1 (en) * 1999-10-18 2003-03-04 Bodymedia, Inc. Wearable human physiological data sensors and reporting system therefor
US6605038B1 (en) 2000-06-16 2003-08-12 Bodymedia, Inc. System for monitoring health, wellness and fitness
US20060122474A1 (en) * 2000-06-16 2006-06-08 Bodymedia, Inc. Apparatus for monitoring health, wellness and fitness
US7689437B1 (en) * 2000-06-16 2010-03-30 Bodymedia, Inc. System for monitoring health, wellness and fitness
US8398546B2 (en) 2000-06-16 2013-03-19 Bodymedia, Inc. System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability
IL153516A (en) * 2000-06-23 2007-07-24 Bodymedia Inc System for monitoring health, wellness and fitness
AU2001282449A1 (en) * 2000-08-16 2002-02-25 Nizan Yaniv Applications of the biofeedback technique
AUPQ966600A0 (en) * 2000-08-25 2000-09-21 Jankov, Vladimir System for physiological monitoring during sleep
JP4607365B2 (en) * 2001-04-04 2011-01-05 帝人株式会社 Home medical device capable of reporting by breathing pattern and home medical system
US7025729B2 (en) 2001-09-14 2006-04-11 Biancamed Limited Apparatus for detecting sleep apnea using electrocardiogram signals
US7052470B2 (en) * 2002-02-11 2006-05-30 Gannon Mark D Breathing detection/confirmation device
US6881192B1 (en) 2002-06-12 2005-04-19 Pacesetter, Inc. Measurement of sleep apnea duration and evaluation of response therapies using duration metrics
US6894427B2 (en) * 2002-06-24 2005-05-17 Dymedix Corp. Nasal vibration transducer
US7020508B2 (en) 2002-08-22 2006-03-28 Bodymedia, Inc. Apparatus for detecting human physiological and contextual information
US20090177068A1 (en) * 2002-10-09 2009-07-09 Stivoric John M Method and apparatus for providing derived glucose information utilizing physiological and/or contextual parameters
KR20050055072A (en) 2002-10-09 2005-06-10 보디미디어 인코퍼레이티드 Apparatus for detecting, receiving, deriving and displaying human physiological and contextual information
CH712588B1 (en) * 2002-11-20 2017-12-29 Imt Imformation Management Tech Ag Gas flow meter.
WO2004047618A2 (en) * 2002-11-26 2004-06-10 Bradley Jeffries Systems and methods for respiration measurement
US7189204B2 (en) 2002-12-04 2007-03-13 Cardiac Pacemakers, Inc. Sleep detection using an adjustable threshold
US20050080348A1 (en) * 2003-09-18 2005-04-14 Stahmann Jeffrey E. Medical event logbook system and method
US7835529B2 (en) * 2003-03-19 2010-11-16 Irobot Corporation Sound canceling systems and methods
US7499750B2 (en) * 2003-04-11 2009-03-03 Cardiac Pacemakers, Inc. Noise canceling cardiac electrodes
US7182738B2 (en) 2003-04-23 2007-02-27 Marctec, Llc Patient monitoring apparatus and method for orthosis and other devices
KR100552681B1 (en) 2003-04-25 2006-02-20 삼성전자주식회사 Apparatus and method for diagnosing sleep apnea
US7477932B2 (en) * 2003-05-28 2009-01-13 Cardiac Pacemakers, Inc. Cardiac waveform template creation, maintenance and use
US7066180B2 (en) * 2003-07-09 2006-06-27 Airmatrix Technologies, Inc. Method and system for measuring airflow of nares
US7118536B2 (en) * 2003-07-25 2006-10-10 Ric Investments, Llc. Apnea/hypopnea detection system and method
US8606356B2 (en) 2003-09-18 2013-12-10 Cardiac Pacemakers, Inc. Autonomic arousal detection system and method
US7720541B2 (en) * 2003-08-18 2010-05-18 Cardiac Pacemakers, Inc. Adaptive therapy for disordered breathing
US7610094B2 (en) * 2003-09-18 2009-10-27 Cardiac Pacemakers, Inc. Synergistic use of medical devices for detecting medical disorders
US8192376B2 (en) 2003-08-18 2012-06-05 Cardiac Pacemakers, Inc. Sleep state classification
US7662101B2 (en) * 2003-09-18 2010-02-16 Cardiac Pacemakers, Inc. Therapy control based on cardiopulmonary status
US7591265B2 (en) 2003-09-18 2009-09-22 Cardiac Pacemakers, Inc. Coordinated use of respiratory and cardiac therapies for sleep disordered breathing
US7572225B2 (en) * 2003-09-18 2009-08-11 Cardiac Pacemakers, Inc. Sleep logbook
US7664546B2 (en) * 2003-09-18 2010-02-16 Cardiac Pacemakers, Inc. Posture detection system and method
US8251061B2 (en) * 2003-09-18 2012-08-28 Cardiac Pacemakers, Inc. Methods and systems for control of gas therapy
US7510531B2 (en) * 2003-09-18 2009-03-31 Cardiac Pacemakers, Inc. System and method for discrimination of central and obstructive disordered breathing events
US7575553B2 (en) * 2003-09-18 2009-08-18 Cardiac Pacemakers, Inc. Methods and systems for assessing pulmonary disease
US7668591B2 (en) * 2003-09-18 2010-02-23 Cardiac Pacemakers, Inc. Automatic activation of medical processes
US7678061B2 (en) 2003-09-18 2010-03-16 Cardiac Pacemakers, Inc. System and method for characterizing patient respiration
US7680537B2 (en) * 2003-08-18 2010-03-16 Cardiac Pacemakers, Inc. Therapy triggered by prediction of disordered breathing
EP1670547B1 (en) 2003-08-18 2008-11-12 Cardiac Pacemakers, Inc. Patient monitoring system
US7967756B2 (en) * 2003-09-18 2011-06-28 Cardiac Pacemakers, Inc. Respiratory therapy control based on cardiac cycle
US7887493B2 (en) 2003-09-18 2011-02-15 Cardiac Pacemakers, Inc. Implantable device employing movement sensing for detecting sleep-related disorders
US7396333B2 (en) 2003-08-18 2008-07-08 Cardiac Pacemakers, Inc. Prediction of disordered breathing
JP5174348B2 (en) 2003-09-12 2013-04-03 ボディーメディア インコーポレイテッド Method and apparatus for monitoring heart related condition parameters
WO2005034750A1 (en) * 2003-10-07 2005-04-21 Olympus Corporation Sleep aspiration state measurement device
US20060247693A1 (en) 2005-04-28 2006-11-02 Yanting Dong Non-captured intrinsic discrimination in cardiac pacing response classification
US7319900B2 (en) * 2003-12-11 2008-01-15 Cardiac Pacemakers, Inc. Cardiac response classification using multiple classification windows
US8521284B2 (en) 2003-12-12 2013-08-27 Cardiac Pacemakers, Inc. Cardiac response classification using multisite sensing and pacing
US7774064B2 (en) 2003-12-12 2010-08-10 Cardiac Pacemakers, Inc. Cardiac response classification using retriggerable classification windows
US8403865B2 (en) 2004-02-05 2013-03-26 Earlysense Ltd. Prediction and monitoring of clinical episodes
US8491492B2 (en) 2004-02-05 2013-07-23 Earlysense Ltd. Monitoring a condition of a subject
US8942779B2 (en) 2004-02-05 2015-01-27 Early Sense Ltd. Monitoring a condition of a subject
US20070118054A1 (en) * 2005-11-01 2007-05-24 Earlysense Ltd. Methods and systems for monitoring patients for clinical episodes
JP4809779B2 (en) * 2004-02-05 2011-11-09 アーリーセンス・リミテッド Prediction and monitoring technology for clinical onset in respiration
US7314451B2 (en) * 2005-04-25 2008-01-01 Earlysense Ltd. Techniques for prediction and monitoring of clinical episodes
ITMI20040261A1 (en) * 2004-02-17 2004-05-17 Milano Politecnico METHOD AND APPARATUS FOR THE GENERATION OF A COMMAND SIGNAL ACCORDING TO A RESPIRATORY ACT
JP5051767B2 (en) 2004-03-22 2012-10-17 ボディーメディア インコーポレイテッド Device for monitoring human condition parameters
US7747323B2 (en) 2004-06-08 2010-06-29 Cardiac Pacemakers, Inc. Adaptive baroreflex stimulation therapy for disordered breathing
US7037272B2 (en) * 2004-07-26 2006-05-02 Ohlan Silpachai Infant respiratory monitoring system
US7680534B2 (en) 2005-02-28 2010-03-16 Cardiac Pacemakers, Inc. Implantable cardiac device with dyspnea measurement
JPWO2006095687A1 (en) * 2005-03-09 2008-08-14 日本特殊陶業株式会社 Breathing sensor, method of using the breathing sensor, and respiratory condition monitoring device
US7392086B2 (en) 2005-04-26 2008-06-24 Cardiac Pacemakers, Inc. Implantable cardiac device and method for reduced phrenic nerve stimulation
US7499751B2 (en) * 2005-04-28 2009-03-03 Cardiac Pacemakers, Inc. Cardiac signal template generation using waveform clustering
US7451762B2 (en) * 2005-06-17 2008-11-18 Salter Labs Pressure sensing device with test circuit
CN100471445C (en) * 2005-08-01 2009-03-25 周常安 Paster style physiological monitoring device, system and network
US20070055115A1 (en) * 2005-09-08 2007-03-08 Jonathan Kwok Characterization of sleep disorders using composite patient data
US8287460B2 (en) * 2005-10-04 2012-10-16 Ric Investments, Llc Disordered breathing monitoring device and method of using same including a study status indicator
CN100466966C (en) * 2005-10-08 2009-03-11 周常安 Physiological signal extracting and monitoring device and system
US20070118180A1 (en) 2005-11-18 2007-05-24 Quan Ni Cardiac resynchronization therapy for improved hemodynamics based on disordered breathing detection
JP2007190196A (en) * 2006-01-19 2007-08-02 Ngk Spark Plug Co Ltd Respiratory condition monitoring device and respiratory condition monitoring system
US7734350B2 (en) * 2006-06-14 2010-06-08 Zmed Technologies, Inc. Respiration apparatus
WO2007147046A2 (en) * 2006-06-14 2007-12-21 Zmed Technologies, Inc. Respiration stimulation
US8209013B2 (en) 2006-09-14 2012-06-26 Cardiac Pacemakers, Inc. Therapeutic electrical stimulation that avoids undesirable activation
JP2008142160A (en) * 2006-12-07 2008-06-26 Ngk Spark Plug Co Ltd Respiration sensor and respiration sensor unit
WO2008072948A1 (en) 2006-12-15 2008-06-19 Nasophlex B.V. Resuscitation device and method for resuscitation
US20080319796A1 (en) * 2007-02-16 2008-12-25 Stivoric John M Medical applications of lifeotypes
US7720696B1 (en) * 2007-02-26 2010-05-18 Mk3Sd, Ltd Computerized system for tracking health conditions of users
US20080228093A1 (en) * 2007-03-13 2008-09-18 Yanting Dong Systems and methods for enhancing cardiac signal features used in morphology discrimination
EP1978460B1 (en) * 2007-04-05 2014-01-22 ResMed R&D Germany GmbH Monitoring device and method
US8585607B2 (en) 2007-05-02 2013-11-19 Earlysense Ltd. Monitoring, predicting and treating clinical episodes
WO2009138976A2 (en) * 2008-05-12 2009-11-19 Earlysense Ltd Monitoring, predicting and treating clinical episodes
US8265736B2 (en) 2007-08-07 2012-09-11 Cardiac Pacemakers, Inc. Method and apparatus to perform electrode combination selection
US9037239B2 (en) 2007-08-07 2015-05-19 Cardiac Pacemakers, Inc. Method and apparatus to perform electrode combination selection
CN101411613A (en) * 2007-10-18 2009-04-22 周常安 Portable domestic physiology-detecting system with extending device
DE102007063007A1 (en) 2007-12-21 2009-06-25 Kouemou, Guy Leonard, Dr. Ing. Method and device for sleep diagnosis and therapy monitoring
JP2009160305A (en) * 2008-01-09 2009-07-23 Ngk Spark Plug Co Ltd Respiration sensor
CN101939051B (en) 2008-02-14 2013-07-10 心脏起搏器公司 Method and apparatus for phrenic stimulation detection
DE102008014652A1 (en) * 2008-03-17 2009-09-24 Robert Bosch Gmbh Medical detection device for the detection of sleep apnea and / or sleep hypopneas
US8882684B2 (en) 2008-05-12 2014-11-11 Earlysense Ltd. Monitoring, predicting and treating clinical episodes
US9883809B2 (en) 2008-05-01 2018-02-06 Earlysense Ltd. Monitoring, predicting and treating clinical episodes
EP2313036A1 (en) * 2008-05-02 2011-04-27 Dymedix Corporation Agitator to stimulate the central nervous system
US20100168600A1 (en) * 2008-06-06 2010-07-01 Salter Labs Support structure for airflow temperature sensor and the method of using the same
NL2001694C2 (en) * 2008-06-18 2009-12-22 Nasophlex B V Ear stimulator for producing a stimulation signal to an ear.
NL2001695C2 (en) * 2008-06-18 2009-12-22 Kerphos B V Implantable electronic system useful for producing stimulation signal to human, has controller for processing parameter values to generate control signal for stimulation device based on detected parameter values
NL2001698C2 (en) 2008-06-18 2009-12-22 Nasophlex B V Cardioverter / defibrillator.
NL2001697C2 (en) 2008-06-18 2009-12-22 Nasophlex B V Nose stimulator for producing a stimulation signal to a nose.
US8147420B2 (en) * 2008-06-24 2012-04-03 Dymedix Corporation Respiratory air temperature and pressure sensor
US20100056942A1 (en) 2008-08-22 2010-03-04 Dymedix Corporation Activity detector for a closed loop neuromodulator
US20100069771A1 (en) * 2008-09-12 2010-03-18 Dymedix Corporation Wireless pyro/piezo sensor
EP2348993B1 (en) 2008-11-17 2016-06-08 University Health Network Method and apparatus for monitoring breathing cycle by frequency analysis of an acoustic data stream
US9949667B2 (en) 2008-11-17 2018-04-24 University Health Network Mask and method for use in respiratory monitoring and diagnostics
CN102333558B (en) 2009-02-25 2015-08-19 皇家飞利浦电子股份有限公司 Automatic pressure titration
EP2236080B1 (en) 2009-04-03 2017-10-11 General Electric Company Sensor
US8911380B1 (en) * 2009-04-17 2014-12-16 Linshom, L.P. Respiration monitoring system and method
US8579829B2 (en) * 2009-04-17 2013-11-12 Linshom L.P. System and method for monitoring breathing
US8985106B2 (en) 2009-06-05 2015-03-24 Resmed Limited Methods and devices for the detection of hypopnoea
DE102009049019A1 (en) * 2009-10-10 2011-04-21 Felix Tapphorn Method for monitoring breathing function of infants, involves attaching thermal elements, temperature sensors and/or hygrometer in child cradle or at bed so that thermal elements, sensors and/or hygrometer are attached in children or adults
US8579824B2 (en) * 2009-10-30 2013-11-12 Medtronic, Inc. Method and apparatus to monitor change in inspiratory effort using intrathoracic blood pressure waveform morphology
GB2480605B (en) * 2010-05-24 2013-01-16 Univ Sheffield Hallam Respiration monitoring device
JP5710767B2 (en) * 2010-09-28 2015-04-30 マシモ コーポレイション Depth of consciousness monitor including oximeter
US20120136267A1 (en) * 2010-11-26 2012-05-31 Derrick Steven J Apparatus and Method For Visually Determining Whether Respiration is Occurring
US10292625B2 (en) 2010-12-07 2019-05-21 Earlysense Ltd. Monitoring a sleeping subject
US9789273B2 (en) 2011-05-13 2017-10-17 Koninklijke Philips N.V. Sensor and valve integrated into a patient interface
US9649087B2 (en) 2011-05-17 2017-05-16 University Health Network Method and device for apnea and hypopnea detection
AU2012255590B2 (en) 2011-05-17 2017-05-25 University Health Network OSA/CSA diagnosis using recorded breath sound amplitude profile and pitch contour
KR101332828B1 (en) 2012-01-30 2013-11-27 동서대학교산학협력단 Alarm system of sleep disturbance by sleep pattern detection device
JP6075972B2 (en) * 2012-05-30 2017-02-08 日本光電工業株式会社 Respiratory state determination device
WO2014066059A1 (en) * 2012-10-22 2014-05-01 The Regents Of The University Of California Networked sensor systems for remote patient monitoring
US8740806B2 (en) 2012-11-07 2014-06-03 Somnarus Inc. Methods for detection of respiratory effort and sleep apnea monitoring devices
US9687193B2 (en) * 2013-02-09 2017-06-27 Ali Mireshghi Sleep apnea avoidance and data collection device
AU2014293401B2 (en) * 2013-07-22 2019-05-02 Quvium Uk Ltd Cough detection, analysis, and communication platform
WO2016057553A1 (en) 2014-10-07 2016-04-14 Masimo Corporation Modular physiological sensors
CN107847185A (en) * 2015-08-06 2018-03-27 艾克斯哈乐保障公司 The method and apparatus breathed using Photoplethysmography Sensor monitoring
CA2931662C (en) 2015-11-03 2023-09-26 University Health Network Acoustic upper airway assessment system and method, and sleep apnea assessment system and method relying thereon
EP3457938B1 (en) * 2016-05-17 2023-07-12 Dormotech Medical Ltd. Device, system, and method for assessing sleep disorders
GB2551768A (en) * 2016-06-30 2018-01-03 Gen Electric Method and apparatus for recording respiratory rate
WO2018089789A1 (en) 2016-11-10 2018-05-17 The Research Foundation For The State University Of New York System, method and biomarkers for airway obstruction
US10686180B2 (en) 2016-12-09 2020-06-16 Milwaukee Electric Tool Corporation Battery protection system
KR101958561B1 (en) 2017-09-01 2019-03-15 가천대학교 산학협력단 Obstructive sleep apnea diagnosis apparatus and operating method thereof
US11600365B2 (en) 2017-12-12 2023-03-07 Vyaire Medical, Inc. Nasal and oral respiration sensor
EP3723602B1 (en) * 2017-12-12 2022-05-18 Vyaire Medical, Inc. Nasal and oral respiration sensor
WO2019167643A1 (en) * 2018-02-27 2019-09-06 学校法人帝京大学 Rhinomanometry device
JP2022537661A (en) 2019-06-11 2022-08-29 バイエア メディカル,インク. Respiratory sensor attachment device
GB2593435A (en) * 2020-02-11 2021-09-29 Breatheox Ltd Respiratory monitoring device

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3903876A (en) * 1972-09-08 1975-09-09 Univ Leland Stanford Junior Respiration monitor
US4648407A (en) * 1985-07-08 1987-03-10 Respitrace Corporation Method for detecting and differentiating central and obstructive apneas in newborns
US4777962A (en) * 1986-05-09 1988-10-18 Respitrace Corporation Method and apparatus for distinguishing central obstructive and mixed apneas by external monitoring devices which measure rib cage and abdominal compartmental excursions during respiration
US4715367A (en) * 1986-09-15 1987-12-29 Crossley Robert B Multifunctional behavioral modification device for snoring, bruxism, and apnea
US4802485A (en) * 1987-09-02 1989-02-07 Sentel Technologies, Inc. Sleep apnea monitor
US5259373A (en) * 1989-05-19 1993-11-09 Puritan-Bennett Corporation Inspiratory airway pressure system controlled by the detection and analysis of patient airway sounds
US5134995A (en) * 1989-05-19 1992-08-04 Puritan-Bennett Corporation Inspiratory airway pressure system with admittance determining apparatus and method
US5239995A (en) * 1989-09-22 1993-08-31 Respironics, Inc. Sleep apnea treatment apparatus
US5069222A (en) * 1990-08-31 1991-12-03 Mcdonald Jr Lewis D Respiration sensor set
US5355893A (en) * 1992-04-06 1994-10-18 Mick Peter R Vital signs monitor
US5311875A (en) * 1992-11-17 1994-05-17 Peter Stasz Breath sensing apparatus
US5520176A (en) * 1993-06-23 1996-05-28 Aequitron Medical, Inc. Iterative sleep evaluation
US5413111A (en) * 1993-08-24 1995-05-09 Healthdyne Technologies, Inc. Bead thermistor airflow sensor assembly
US5555891A (en) * 1994-05-20 1996-09-17 Hartford Hospital Vibrotactile stimulator system for detecting and interrupting apnea in infants
US6165133A (en) * 1995-11-17 2000-12-26 New York University Apparatus and method for monitoring breathing patterns
US6142950A (en) * 1998-12-10 2000-11-07 Individual Monitoring Systems, Inc. Non-tethered apnea screening device

Also Published As

Publication number Publication date
US6368287B1 (en) 2002-04-09
EP1044037A1 (en) 2000-10-18
JP3568894B2 (en) 2004-09-22
AU734719B2 (en) 2001-06-21
WO1999034864A1 (en) 1999-07-15
EP1044037A4 (en) 2001-03-14
JP2002500078A (en) 2002-01-08
AU1781199A (en) 1999-07-26
EP1044037B1 (en) 2006-04-05
IL122875A0 (en) 1998-08-16
DE69930720D1 (en) 2006-05-18
DE69930720T2 (en) 2007-03-29

Similar Documents

Publication Publication Date Title
US6368287B1 (en) Integrated sleep apnea screening system
US6142950A (en) Non-tethered apnea screening device
CA2237985C (en) Apparatus and method for pressure and temperature waveform analysis
US6597944B1 (en) Nocturnal muscle activity monitoring system
US8740806B2 (en) Methods for detection of respiratory effort and sleep apnea monitoring devices
US6878121B2 (en) Sleep scoring apparatus and method
US8287460B2 (en) Disordered breathing monitoring device and method of using same including a study status indicator
US9585601B2 (en) Systems, methods and devices for diagnosing sleep apnea
WO2000069339A1 (en) Motion monitoring apparatus
JP4253568B2 (en) Respiratory data collection system
KR100662103B1 (en) Method and apparatus for diagnosing sleep apnea and treating according to sleep apnea type
CN111317476A (en) Sleep apnea syndrome detection device based on respiratory airflow signal
RU67424U1 (en) PORTABLE APPNO EPISODE REGISTRATION DEVICE
CN209826693U (en) Monitoring devices of breathing and heartbeat in sleep
WO2021177923A1 (en) Sleep apnea diagnostic device
AU743765B2 (en) Monitoring the occurence of apneic and hypopneic arousals
AU4387200A (en) Motion monitoring apparatus

Legal Events

Date Code Title Description
EEER Examination request
FZDE Discontinued