Search Images Maps Play YouTube News Gmail Drive More »
Sign in
Screen reader users: click this link for accessible mode. Accessible mode has the same essential features but works better with your reader.

Patents

  1. Advanced Patent Search
Publication numberUSD627476 S1
Publication typeGrant
Application numberUS 29/284,040
Publication dateNov 16, 2010
Filing dateAug 29, 2007
Priority dateAug 29, 2007
Publication number284040, 29284040, US D627476 S1, US D627476S1, US-S1-D627476, USD627476 S1, USD627476S1
InventorsShan Gaw, Michael Bland, Peter D. Weiss, Kent W Leyde, John F. Harris
Original AssigneeNeurovista Corporation
Export CitationBiBTeX, EndNote, RefMan
External Links: USPTO, USPTO Assignment, Espacenet
Medical patient advisory device
US D627476 S1
Abstract  available in
Images(6)
Previous page
Next page
Claims(1)
  1. The ornamental design for a medical patient advisory device, as shown and described.
Description

FIG. 1 is a front perspective view of a medical patient advisory device showing the new design;

FIG. 2 is a front elevation view thereof;

FIG. 3 is a rear elevation view thereof;

FIG. 4 is a left-side elevation view thereof;

FIG. 5 is a right-side elevation view thereof;

FIG. 6 is a top plan view thereof; and,

FIG. 7 is a bottom plan view thereof.

The broken line showings are for illustrative purposes only and form no part of the claimed design.

Non-Patent Citations
Reference
1Adjouadi, M. et al., "A New Mathematical Approach Based on Orthogonal Operators for the Detection of Interictal Spikes in Epileptogenic Data," Presented at Rocky Mountain Bioengineering Symposium & International ISA Biomedical Sciences Instrumentation Symposium, 2004, pp. 175-180.
2Adjouadi, M. et al., "Detection of Interictal Spikes and Artifactual Data Through Orthogonal Transformations," Journal of Clinical Neurophysiology, Feb. 2005, pp. 53-64, vol. 22, No. 1.
3Adjouadi, M. et al., "Interictal Spike Detection Using the Walsh Transform," IEEE Transactions on Biomedical Engineering, May 2004, pp. 868-872, vol. 51, No. 5.
4Aksenova, T.I. et al., "Nonparametric On-Line Detection of Changes in Signal Spectral Characteristics for Early Prediction of Epilepsy Seizure Onset," Journal of Automation and Information Sciences, 2004, pp. 35-45, vol. 36, No. 8.
5Aksenova, T.I. et al., "On-Line Disharmony Detection for Early Prediction of Epilepsy Seizure Onset," 2003, 2 pages.
6Andrzejak, R.G. et al., "Bivariate Surrogate Techniques: Necessity, Strengths, and Caveats," Physical Review, 2003, pp. 1-15, The American Physical Society, vol. 68, No. 066202.
7Andrzejak, R.G. et al., "Testing the Null Hypothesis of the Nonexistence of a Preseizure State," Physical Review, 2003, pp. 1-4, the American Physical Society, vol. 67, No. 010901(R).
8Aschenbrenner-Scheibe, R. et al., "How Well Can Epileptic Seizures be Predicted? An Evaluation of a Nonlinear Method," Brain, Sep. 23, 2003, pp. 2616-2626, vol. 126.
9Avanzini, G., "Is Tolerance to Antiepileptic Drugs Clinically Relevant?" Epilepsia, 2006, pp. 1285-1287, vol. 47, No. 8, Blackwell Publishing, Inc.
10Bangham, A.D. et al., "Diffusion of Univalet Ions Across the Lamellae of Swollen Phospholipids," J. Mol. Biol., 1965, pp. 238-252, vol. 13.
11Baruchi, I. et al., "Functional Holography of Recorded Neuronal Networks Activity," Neuroinformatics, 2004, pp. 333-352, vol. 4.
12Baruchi, I. et al., Functional Holography of Complex Networks Activity—From Cultures to the Human Brain, Complexity, 2005, pp. 38-51, vol. 10, No. 3, Wiley Periodicals, Inc.
13Ben-Hur, A. et al., "Detecting Stable Clusters Using Principal Component Analysis," in Methods in Molecular Biology, 2003 pp. 1-23.
14Bergey, G.K. et al., "Epileptic Seizures are Characterized by Changing Signal Complexity," Clinical Neurophysiology, 2001, pp. 1-9, Elsevier.
15Betterton, P. et al., "Determining State of Consciousness from the Intracranial Electroencephalogram (IEEG) for Seizure Prediction," Proceedings of the 22nd IASTED International Conference Modelling, Identification and Control, Feb. 10-13, 2003, Innsbruck, Austria, pp. 313-317.
16Bhattacharya, J. et al., "Enhanced Phase Synchrony in the Electroencephalograph γ Band for Musicians While Listening to Music," Physical Review, 2001, pp. 1-4, the American Physical Society, vol. 64, No. 012902.
17Boley, D. et al., "Training Support Vector Machine Using Adaptive Clustering," Proceedigns of the Fourth SIAM International Conference on Data Mining, 2004,12 pages.
18Burges, C.J.C., "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, 1998, pp. 121-167, vol. 2, Kluwer Academic Publishers.
19Cao, Y. et al., "Detecting Dynamical Changes in Time Series Using the Permutation Entropy," Physical Review, 2004, pp. 1-7, vol. 70, No. 046217.
20Carretero-González, R. et al., "Scaling and Interleaving of Subsystem Lyapunov Exponents for Spatio-Temporal Systems," Chaos, Jun. 1999, pp. 466-482, vol. 9, No. 2.
21Casdagli, M.C. et al., "Characterizing Nonlinearity in Invasive EEG Recordings from Temporal Lobe Epilepsy," Physica D, Dec. 15, 1996, pp. 1-17, vol. 99, Issues 2-3.
22Casdagli, M.C. et al., "Nonlinear Analysis of Mesial Temporal Lobe Seizures Using a Surrogate Data Technique," Epilepsia, Annual Meeting of the American Epilepsy Society, Baltimore, Maryland, Dec. 1-6, 1995, p. 142, vol. 36, Suppl. 4.
23Casdagli, M.C. et al., "Non-Linearity in Invasive EEG Recordings from Patients with Temporal Lobe Epilepsy," Electroencephalography and Clinical Neurophysiology, Feb. 1997, pp. 1-10, Vol. 102, Issue 2.
24Cerf, R. et al., "Criticality and Synchrony of Fluctuations in Rhythmical Brain Activity: Pretransitional Effectsin Epileptic Patients," Biological Cybernetics, Mar. 30, 2004,pp. 239-255, vol. 903.
25Chaovalitwongse, W. A. et al., "Reply to Comments on "Performance of a Seizure Warning Algorithm Based on the Dynamics of Intracranial EEG" by Winterhalder, M., Schelter, B., Achulze-Bonhage, A., Timmer, J.," Epilepsy Research, Jul. 31, 2006, pp. 82-84, vol. 72, Elsevier.
26Chaovalitwongse, W. et al., "EEG Classification in Epilepsy," Jun. 30, 2004, Annals.tex, pp. 1-32, vol. 2, No. 37, Kluwer Academic Publishers, Netherlands.
27Chaovalitwongse, W. et al., "Performance of a Seizure Warning Algorithm Based on the Dynamics of Intracranial EEG," Epilepsy Research, 2003, pp. 1-46, vol. 64, Issue 3.
28Chávez, M. et al., "Spatio-Temporal Dynamics Prior to Neocortical Seizures: Amplitude Versus Phase Couplings," IEEE Transactions on Biomedical Engineering, May 2003, pp. 571-583, vol. 50 No. 5.
29Chrichton, M., "The Terminal Man," 1972, pp. 21-24, 32-33, 70-81, Alfred A. Knopf, New York.
30Curry, W.J. et al., "New Antiepileptic Drugs: Gabapentin, Lamotrigine, Felbamate, Topiramate and Fosphenytoin," American Family Physician, Feb. 1, 1998, 9 pages, vol. 57, No. 3.
31D'Alessandro, M. et al., "A Multi-Feature and Multi-Channel Univariate Selection Process for Seizure Prediction," Clinical Neurophysiology, 2005, pp. 506-516, vol. 116.
32D'Alessandro, M. et al., "Epileptic Seizure Prediction Using Hybrid Feature Selection Over Multiple Intracranial EEG Electrode Contacts: A Report of Four Patients," IEEE Transactions on Biomedical Engineering, May 2003, pp. 603-615, vol. 50, No. 5.
33Drury, I. et al., "Seizure Prediction Using Scalp Electroencephalogram," Experimental Neurology, 2003, pp. S9-S18, vol. 184.
34Ebersole, J.S., "Functional Neuroimaging with EEG Source Models to Localize Epileptogenic Foci Noninvasively," Neuorology, Available at http://www.uchospitals.edu.pdf/uch.sub.--001471.pdf, Accessed Feb. 28, 2006, 3 pages.
35Ebersole, J.S., "In Search of Seizure Prediction: A Critique," Clinical Neurophysiology, 2005, pp. 489-492, vol. 116.
36Elbert, T. et al., "Chaos and Physiology: Deterministic Chaos in Excitable Cell Assemblies," Physiological Reviews, Jan. 1994, pp. 1-47, vol. 74, No. 1.
37Elger, C.E. et al., "Nonlinear EEG Analysis and Its Potential Role in Epileptology," Epilepsia, 2000, pp. S34-S38, vol. 41, Suppl. 3.
38Elger, C.E. et al., "Short Communication—Seizure Prediction by Non-Linear Time Series Analysis of Brain Electrical Activity," European Journal of Neuroscience, 1998, pp. 786-789, vol. 10.
39Esteller, R. et al., "A Comparison of Waveform Fractal Dimension Algorithms," IEEE Transactions on Circuits and Systems—I: Fundamental Theory and Applications, Feb. 2001, pp. 177-183, vol. 48, No. 2.
40Esteller, R. et al., "Continuous Energy Variation During the Seizure Cycle: Towards an On-Line Accumulated Energy," Clinical Neurophysiology, Jan. 22, 2005, pp. 517-526, vol. 116.
41Esteller, R. et al., "Feature Parameter Optimization for Seizure Detection/Prediction," IntelliMedix, Inc., [online] [Retrieved on Oct. 31, 2005] Retrieved from the Internet<URL:http://66.102.7.104/search?q=cache:4he0GuwtlacJ:icsl.m...re%2520Detection%2520Prediction.doc+intellimedix&Hl=en>.
42Faul, S. et al., "An Evaluation of Automated Neonatal Seizure Detection Methods," Clinical Neurophysiology, 2005, pp. 1533-1541, vol. 116.
43Fein, G. et al., "Common Reference Coherence Data are Confounded by Power and Phase Effects," Electroencephalography and Clinical Neurophysiology, 1988, pp. 581-584, vol. 69, Elsevier Scientific Publishers, Ireland, Ltd.
44Fell, J. et al., "Linear Inverse Filtering Improves Spatial Separation of Nonlinear Brain Dynamics: A Simulation Study," Journal of Neuroscience Methods, 2000, pp. 49-56, vol. 98, Elsevier.
45Firpi, H. et al., "Epileptic Seizure Detection by Means of Genetically Programmed Artifical Features," Gecco '05, Jun. 25-29, 2005, pp. 461-466.
46Fisher, R.S. "Reassessment: Vagus Nerve Stimulation for Epilepsy," American Academy of Neurology, 1999, [online] [Retrieved on Apr. 14, 2006] Retrieved from the Internet<URL:www.neurology.org>.
47Franaszczuk, P.J. et al., "An Autoregressive Method for the Measurement of Synchronization of Interictal and Ictal EEG Signals," Biological Cybernetics, 1999, pp. 3-9, vol. 81, Springer-Verlag.
48Gardner, A.B., "A Novelty Detection Approach to Seizure Analysis from Intracranial EEG," Dissertation, Georgia Institute of Technology, Apr. 2004, pp. 1-146.
49Geva, A.B. et al., "Forecasting Generalized Epileptic Seizures from the EEG Signal by Wavelet Analysis and Dynamic Unsupervised Fuzzy Clustering," IEEE Transactions on Biomedical Engineering, Oct. 1998, pp. 1205-1216, vol. 45, No. 10.
50Gigola, S. et al., "Prediction of Epileptic Seizures Using Accumulated Energy in a Multiresolution Framework," Journal of Neuroscience Methods, 2004, pp. 107-111, vol. 138, Elsevier.
51Guyon, I. et al., "An Introduction to Variable and Feature Selection," Journal of Machine Learning Research, Mar. 2003, pp. 1157-1182, vol. 3.
52Guyon, I. et al., "Multivariate Non-Linear Feature Selection with Kernel Multiplicative Updates and Gram-Schmidt Relief," to appear in the proceedings of the BISC FLINT-CIBI 2003 workshop, Berkeley, Dec. 2003, pp. 1-11.
53Harrison, M.A. et al., "Accumulated Energy Revisited," Clinical Neurophysiology, 2005, pp. 527-531, vol. 116, Elsevier.
54Harrison, M.A.F. et al., "Correlation Dimension and Integral do not Predict Epileptic Seizures," Chaos, 2005, pp. 1-15, vol. 15, No. 033106, American Institute of Physics.
55Hearst, M.A., "Support Vector Machines," IEEE Intelligent Systems, Jul./Aug. 1998, pp. 18-28.
56Hively, L.M. et al., "Channel-Consistent Forewarning of Epileptic Events from Scalp EEG" IEEE Transactions on Biomedical Engineering, May 2003, pp. 584-593, vol. 50, No. 5.
57Hively, L.M. et al., "Detecting Dynamical Change in Nonlinear Time Series," Physics Letters A, Jul. 19, 1999, pp. 103-114, vol. 258, Elsevier.
58Hively, L.M. et al., "Epileptic Seizure Forewarning by Nonlinear Techniques," Oak Ridge National Laboratory, Nov. 2000, 40 pages.
59Hjorth, B., "Source Derivation Simplifies Topographical EEG Interpretation," Am.J. EEG Techol., 1980, pp. 121-132, vol. 20.
60Hsu, C-W. et al., "A Practical Guide to Support Vector Classification," 2003, pp. 1-12.
61Huynh, J., "Evaluation of Gene Selection Using Support Vector Machine Recursive Feature Elimination," Powerpoint Presentation, 2004, 41 pages.
62Huynh, J.A., "Evaluation of Gene Selection Using Support Vector Machine Recursive Feature Elimination," Internship Report, May 26, 2004, pp. 1-25.
63Iasemidis, L.D. et al. "Epileptogenic Focus Localization by Dynamic Analysis of Interictal Periods of EEG in Patients with Temporal Lobe Epilepsy," Epilepsia, Abstracts from the Annual Meeting of the American Epilepsy Society, Boston, MA, Dec. 7-10, 1997, p. 213, vol. 38, Suppl. 8.
64Iasemidis, L.D. et al., "Adaptive Epileptic Seizure Prediction System," IEEE Transactions on Biomedical Engineering, May 2003, pp. 616-627, vol. 50, No. 5.
65Iasemidis, L.D. et al., "Automated Seizure Prediction Paradigm," Epilepsia, Abstracts from the Annual Meeting of the American Epilepsy Society, San Diego, CA, Dec. 6-9, 1998, p. 207, vol. 39, Suppl. 6.
66Iasemidis, L.D. et al., "Chaos Theory and Epilepsy," 1996, pp. 1-13.
67Iasemidis, L.D. et al., "Comment on Inability of Lyapunov Exponents to Predict Epileptic Seizures," Physical Review Letters, Jan. 14, 2005, 1 page, PRL 94, 019801.
68Iasemidis, L.D. et al., "Detection of the Preictal Transition State in Scalp-Sphenoidal EEG Recordings," Journal of Clinical Neurophysiology, Sep. 1996, pp. 443-444, vol. 13, No. 5.
69Iasemidis, L.D. et al., "Dynamical Interaction of the Epileptogenic Focus with Extrafocal Sites in Temporal Lobe Epilepsy," Annals of Neurology, Sep. 1997, p. 429, vol. 42, No. 3.
70Iasemidis, L.D. et al., "Localizing Preictal Temporal Lobe Spike Foci Using Phase Space Analysis," Abstracts of the XIIth International Congress of Electroencephalography and Clinical Neurophysiology, Rio de Janeiro, Brazil, Jan. 14-19, 1990, pp. S63-S64, vol. 75, No. 1, Elsevier Scientific Publishers Ireland, Ltd.
71Iasemidis, L.D. et al., "Long-Term Prospective On-Line Real-Time Seizure Prediction," Clinical Neurphysiology, 2005, pp. 532-544, vol. 116.
72Iasemidis, L.D. et al., "Long-Time-Scale Temporo-Spatial Patterns of Entrainment of Preictal Electrocorticopraphic Data in Human Temporal Lobe Epilepsy," Epilepsia, Sep./Oct. 1990, p. 621, vol. 31, No. 5.
73Iasemidis, L.D. et al., "Measurement and Quantification of Spatio-Temporal Dynamics of Human Epileptic Seizures," in Nonlinear Signal Processing in Medicine, M. Akay (Ed.), 1999, pp. 1-27, IEEE Press.
74Iasemidis, L.D. et al., "Modelling of EcoG in Temporal Lobe Epilepsy," Proceedings of the 25th Rocky Mountain Bioengineering Symposium, Colorado Springs, CO, 1988, pp. 1-12.
75Iasemidis, L.D. et al., "Nonlinear Dynamics of Electrocorticographic Data in Temporal Lobe Epilepsy," Journal of Clinical Neurophysiology, 1988, p. 339, vol. 5, No. 4, Raven Press.
76Iasemidis, L.D. et al., "Phase Space Topography and the Lyapunov Exponent of Electrocorticograms in Partial Seizures," Brain Topography, Mar. 1990, pp. 187-201, vol. 2, No. 3.
77Iasemidis, L.D. et al., "Preictal Entrainment of a Critical Cortical Mass is a Necessary Condition for Seizure Occurrence," Epilepsia, Abstracts from the Annual Meeting of the American Epilepsy Society, San Francisco, CA, Dec. 7-10, 1996, p. 90, vol. 37, Suppl. 5.
78Iasemidis, L.D. et al., "Preictal-Postictal Versus Postictal Analysis for Epileptogenic Focus Localization," J. Clin. Neurophysiol., 1997, p. 144, vol. 14.
79Iasemidis, L.D. et al., "Quadratic Binary Programming and Dynamical System Approach to Determine the Predictability of Epileptic Siezures," Journal of Combinatorial Optimization, 2001, pp. 9-26, vol. 5, Kluwer Academic Publishers, Netherlands.
80Iasemidis, L.D. et al., "Quantification of Hidden Time Dependencies in the EEG within the Framework of Nonlinear Dynamics," in Nonlinear Dynamical Analysis of the EEG, 1993, Eds. B.H. Jansen et al., pp. 30-47.
81Iasemidis, L.D. et al., "Spatiotemporal Dynamics of Human Epileptic Seizures," in Proceedings of the 3rd Experimental Chaos Conference, 1996, R.G. Harrison et al. (Eds.), pp. 26-30.
82Iasemidis, L.D. et al., "Spatiotemporal Evolution of Dynamical Measures Precedes Onset of Mesial Temporal Lobe Seizures," Epilepsia, Abstracts from the Annual Meeting of the American Epilepsy Society, New Orleans, LA, Dec. 2-8, 1994, p. 133, vol. 35, Suppl. 8.
83Iasemidis, L.D. et al., "Spatiotemporal Transition to Epileptic Seizures: A Nonlinear Dynamical Analysis of Scalp and Intracranial EEG Recordings," Spatiotemporal Models in Biological and Artificial Systems, F.L. Silva et al. (Eds.), 1997, pp. 81-88, IOS Press.
84Iasemidis, L.D. et al., "The Evolution with Time of the Spatial Distribution of the Largest Lyapunov Exponent on the Human Epileptic Cortex," in Mearsuring Chaos in the Human Brain, 1991, Eds. D. Duke et al., pp. 1-27.
85Iasemidis, L.D. et al., "The Use of Dynamical Analysis of EEG Frequency Content in Seizure Prediction," Society Proceedings, American EEG Society, 1993 Annual Meeting, New Orleans, LA, Oct. 11-12, 1993, Electroencephalography and Clinical Neurophysiology, 1994, p.39P, vol. 91.
86Iasemidis, L.D. et al., "Time Dependencies in Partial Epilpesy," Epilepsia, Abstracts from the Annual Meeting of the American Epileptic Society, Miami, FL, Dec. 5-8, 1993, pp. 130-131, vol. 34, Suppl. 6.
87Iasemidis, L.D. et al., "Time Dependencies in the Occurrences of Epileptic Seizures," Epilepsy Research, 1994, pp. 81-94, vol. 17, Elsevier.
88Iasemidis, L.D., "Epileptic Seizure Prediction and Control," IEEE Transactions on Biomedical Engineering, May 2003, pp. 549-558, vol. 50, No. 5.
89Jerger, K.K. et al., "Early Seizure Detection," Journal of Clinical Neurphysiology, 2001, pp. 259-268, vol. 18, No. 3.
90Jerger, K.K. et al., "Multivariate Linear Discrimination of Seizures," Clinical Neurophysiology, 2005, pp. 545-551, vol. 116.
91Jouny, C.C. et al., "Characterization of Epileptic Seizure Dynamics Using Gabor Atom Density," Clinical Neurophysiology, 2003, pp. 426-437, vol. 114.
92Jouny, C.C. et al., "Signal Complexity and Synchrony of Epileptic Seizures: Is There an Identifiable Preictal Period?" Clinical Neurophysiology, 2005, pp. 552-558, vol. 116.
93Kapiris, P.G. et al., "Similarities in Precursory Features in Seismic Shocks and Epileptic Seizures," Europhysics Letters, Feb. 15, 2005, pp. 657-663, vol. 69, No. 4.
94Katz, A. et al., "Does Interictal Spiking Change Prior to Seizures?" Electroencephalography and Clinical Neurophysiology, 1991, pp. 153-156, vol. 79, Elsevier Scientific Publishers Ireland Ltd.
95Kerem, D.H. et al., "Forecasting Epilepsy from the Heart Rate Signal," Medical & Biological Engineering & Computing, 2005, pp. 230-239, vol. 43.
96Khalilov, I. et al. "Epilptogenic Actions of GABA and Fast Oscillations in the Developing Hippocampus," Neuron, Dec. 8, 2005, pp. 787-796, vol. 48, Elsevier Inc.
97Korn, H. et al., "Is there Chaos in the Brain? II. Experimental Evidence and Related Models," C.R. Biologies, 2003, pp. 787-840, vol. 326.
98Kraskov, A., "Synchronization and Interdependence Measures and their Applications to the Electroencephalogram of Epilepsy Patients and Clustering of Data," Dissertation (PhD Thesis), Publication Series of the John von Neumann Institute for Computing (NIC), NIC Series, Feb. 2004, 106 pages, vol. 24.
99Kreuz, T. et al., "Measure Profile Surrogates: A Method to Validate the Performance of Epileptic Seizure Prediction Algorithms," Jun. 15, 2004, Physical Review, pp. 1-9, vol. 69, No. 061915.
100Lachaux, J-P. et al., "Measuring Phase Synchrony in Brain Signals," Human Brain Mapping, 1999, pp. 194-208, vol. 8.
101Lai, Y-C. et al., "Controlled Test for Predictive Power of Lyapunov Exponents: Their Inability to Predict Epileptic Seizures," Chaos, Sep. 2004, pp. 630-642, vol. 14, No. 3.
102Lai, Y-C. et al., "Inability of Lyapunov Exponents to Predict Epileptic Seizures," Physical Review Letters, Aug. 8, 2003, pp. 1-4, vol. 91, No. 6.
103Laroche, S.M. et al., "The New Antiepileptic Drugs," Scientific Review, JAMA, Feb. 4, 2004, pp. 605-614, vol. 291, No. 5.
104Latka, M. et al., "Wavelet Analysis of Epileptic Spikes," Dec. 22, 2002, pp. 1-6.
105Le Van Quyen, M. et al., "Anticipating Epileptic Seizures in Real Time by a Non-Linear Analysis of Similarity Between EEG Recordings," NeuroReport, Jul. 13, 1999, pp. 2149-2155, vol. 10, No. 10.
106Le Van Quyen, M. et al., "Authors' Second Reply," Correspondence, The Lancet, Mar. 15, 2003, p. 971, vol. 361.
107Le Van Quyen, M. et al., "Comparison of Hilbert Transform and Wavelet Methods for the Analysis of Neuronal Synchrony," Journal of Neuroscience Methods, 2001, pp. 83-98, vol. 111, Elsevier.
108Le Van Quyen, M. et al., "Nonlinear Analyses of Interictal EEG Map the Brain Interdependences in Human Focal Epilepsy," Physica D, 1999, pp. 250-266, vol. 127, Elsevier.
109Le Van Quyen, M. et al., "Preictal State Identification by Synchronization Changes in Long-Term Intracranial EEG Recordings," Clinical Neurophysiology, 2005, pp. 559-568, vol. 116.
110Le Van Quyen, M., "Anticipating Epileptic Seizures: From Mathematics to Clinical Applications," C.R. Biologies, 2004, pp. 1-12.
111Lehnertz, K. et al., "Nonlinear EEG Analysis in Epilepsy: Its Possible Use for Interictal Focus Localization, Seizure Anticipation, and Prevention," Journal of Clinical Neurophysiology, 2001, pp. 209-222, vol. 18, No. 3.
112Lehnertz, K. et al., "Seizure Prediction by Nonlinear EEG Analysis," IEEE Engineering in Medicine and Biology Magazine, Jan./Feb. 2003, pp. 57-63.
113Lehnertz, K. et al., "The First International Collaborative Workshop on Seizure Prediction: Summary and Data Description," Clinical Neurophysiology, 2005, pp. 493-505, vol. 116, Elsevier.
114Lehnertz, K., "Non-Linear Time Series Analysis of Intracranial EEG Recordings in Patients with Epilepsy—An Overview," International Journal of Psychophysiology, 1999, pp. 45-52, vol. 34, Elsevier.
115Lemos, M.S. et al., "The Weighted Average Reference Montage," Electroencephalography and Clinical Neurophysiology, 1991, pp. 361-370, vol. 79, Elsevier Scientific Publishers Ireland, Ltd.
116Li, D. et al, "Linear and Nonlinear Measures and Seizure Anticipation in Temporal Lobe Epilepsy," Journal of Computational Neuroscience, 2003, pp. 335-345, vol. 15, Kluwer Academic Publishers, Netherlands.
117Li, D. et al., "Non-Linear, Non-Invasive Method for Seizure Anticipation in Focal Epilepsy," Mathematical Biosciences, 2003, pp. 63-77, vol. 186, Elsevier.
118Li, X. et al, "Fractal Spectral Analysis of Pre-Epileptic Seizures in Terms of Criticality," Journal of Neural Engineering, Mar. 8, 2005, pp. 11-16, vol. 2.
119Litt, B. et al., "Prediction of Epileptic Seizures," Neurology, The Lancet, May 2002, pp. 22-30, vol. 1, No. 1.
120Litt, B. et al., "Seizure Prediction and the Preseizure Period," Current Opinion in Neurology, 2002 pp. 173-177, vol. 15.
121Maiwald, T. et al., "Comparison of Three Nonlinear Seizure Prediction Methods by Means of the Seizure Prediction Characteristic," Physica D, 2004, pp. 357-368, vol. 194.
122Mangasarian, O.L. et al., "Lagrangian Support Vector Machines," Mar. 9, 2006, pp. 1-22.
123Martinerie, J. et al., "Epileptic Seizures can be Anticipated by Non-Linear Analysis," Nature Medicine, Oct. 1998, pp. 1173-1176, vol. 4, No. 10.
124McSharry, P.E. et al., "Comparison of Predictability of Epileptic Seizures by a Linear and a Nonlinear Method," IEEE Transactions on Biomedical Engineering, May 2003, pp. 628-633, vol. 50, No. 5.
125McSharry, P.E. et al., "Linear and Non-Linear Methods for Automatic Seizure Detection in Scalp Electro-Encephalogram Recordings," Medical & Biological Engineering & Computing, 2002, pp. 447-461, vol. 40.
126McSharry, P.E., "Detection of Dynamical Transitions in Biomedical Signals Using Nonlinear Methods," in Knowledge-Based Intelligent Information and Engineering Systems, 2004, pp. 483-490.
127Meng, L. et al., "Gaussian Mixture Models of EcoG Signal Features for Improved Detection of Epileptic Seizures," Medical Engineering & Physics, 2004, pp. 379-393, vol. 26, Elsevier.
128Mizuno-Matsumoto, Y. et al., "Wavelet-Crosscorrelation Analysis Can Help Predict Whether Bursts of Pulse Stimulation Will Terminate Afterdischarges," Clinical Neurophysiology, 2002, pp. 33-42, No. 113, Elsevier.
129Mormann, F. et al., "Automated Detection of a Preseizure State Based on a Decrease in Synchronization in Intracranial Electroencephalogram Recordings from Epilepsy Patients," Physical Review, Feb. 26, 2003, vol. 67, No. 021912, The American Physical Society.
130Mormann, F. et al., "Epileptic Seizures are Preceded by a Decrease in Synchronization," Epilepsy Researach, 2003, pp. 173-185, vol. 53.
131Mormann, F. et al., "Mean Phase Coherence as a Measure for Phase Synchronization and its Application to the EEG of Epilepsy Patients," Physica D, 2000, pp. 358-369, vol. 144, Elsevier.
132Mormann, F. et al., "On the Predictability of Epileptic Seizures," Clinical Neurophysiology, 2005, pp. 569-587, vol. 116, Elsevier.
133Mormann, F. et al., "Seizure Anticipation: From Algorithms to Clinical Pratice," Current Opinion in Neurology, 2006, pp. 187-193, vol. 19, Lippincott Williams & Wilkins.
134Mormann, F. et al., "Seizure Prediction: The Long and Winding Road," Brain, 2007, pp. 314-333, vol. 130.
135Navarro, V. et al., "Seizure Anticipation in Human Neocortical Partial Epilepsy," Brain, 2002, pp. 640-655, vol. 125.
136Navarro, V. et al., "Seizure Anticipation: Do Mathematical Measures Correlate with Video-EEG Evaluation?" Epilepsia, 2005, pp. 385-396, vol. 46, No. 3.
137Niederhauser, J.J. et al., "Detection of Seizure Precursors from Depth-EEG Using a Sign Periodogram Transform," IEEE Transactions on Biomedical Engineering, Apr. 2003, pp. 449-458, vol. 51, No. 4.
138Nigam, V. et al., "A Neural-Network-Based Detection of Epilepsy," Neurological Research, Jan. 2004, pp. 55-60, vol. 26.
139Ochoa, J.G. et al., "Antiepileptic Drugs: An Overview," eMedicine.com, WebMD, updated Sep. 26, 2006, 26 pages.
140Osorio, I. et al., "Automated Seizure Abatement in Humans Using Electrical Stimulation," Ann. Neurol., 2005, pp. 258-268, vol. 57, Wiley-Liss, Inc.
141Osorio, I. et al., "Performance Reassessment of a Real-Time Seizure-Detection Algorithm on Long ECoG Series," Epilepsia, 2002, pp. 1522-1535, vol. 43, No. 12.
142Osorio, I. et al., "Real-Time Automated Detection and Quantitative Analysis of Seizures and Short-Term Prediction of Clinical Onset," Epilepsia, 1998, pp. 615-627, vol. 39, No. 6.
143Ossadtchi, A. et al., "Hidden Markov Modelling of Spike Propagation from Interictal MEG Data," Physics in Medicine and Biology, Jul. 6, 2005, pp. 3447-3469, vol. 50, Institute of Physis Publishing.
144Pflieger, M.E. et al., "A Noninvasive Method for Analysis of Epileptogenic Brain Connectivity," Presented at the American Epilepsy Society 2004 Annual Meeting, New Orleans, LA, Dec. 6, 2004, pp. 1-12.
145Pittman, V., "Flexible Drug Dosing Produces Less Side-Effects in People with Epilepsy," Medical News Today Article, Dec. 29, 2005, [online] [Retrieved on Apr. 17, 2006] Retrieved from the Internet<URL:http://www.medicalnewstoday.com/printerfriendlynews.php?newsid=35478>.
146Platt, J.C. et al., "Large Margin DAGs for Multiclass Classification," MIT Press, 2000, S.A. Solla et al. (Eds.), pp. 547-553.
147Platt, J.C., "Using Analytic QP and Sparseness to Speed Training of Support Vector Machines," To Appear in Advances in Neural Information Processing Systems, M.S. Kearns et al. (Eds.), 1999, pp. 1-8, MIT Press.
148Protopopescu, V.A. et al., "Epileptic Event Forewarning from Scalp EEG," Journal of Clinical Neurphysiology, 2001, pp. 223-245, vol. 18, No. 3., Lippincott Williams & Wilkins, Inc.
149Rahimi, A. et al., "On the Effectiveness of Aluminum Foil Helmets: An Empirical Study," Feb. 17, 2005, [online] [Retrieved on Dec. 13, 2005] Retrieved from the Internet<URL:http://people.csail.mit.edu/rahimi/helmet/>.
150Remington's, 18th Edition, A.R. Gennaro (Ed.), Pharmaceutical Sciences, 1990, 5 pages, Mack Publishing Company.
151Robinson, P.A. et al., "Steady States and Global Dynamics of Electrical Activity in the Cerebral Cortex," Phys. Rev. E, Mar. 5, 1998, 13 pages, vol. 58, Issue 3.
152Rudrauf, D. et al., "Frequencey Flows and the Time-Frequency Dynamics of Multivariate Phase Synchronization in Brain Signals," Neurolmage, 2005, pp. 1-19.
153Saab, M.E. et al., "A System to Detect the Onset of Epileptic Seizures in Scalp EEG," Clinical Neurophysiology, 2005, pp. 427-442, vol. 116, Elsevier.
154Sackellares, J.C. et al., "Computer-Assisted Seizure Detection Based on Quantitative Dynamical Measures," Electroencephalography and Clinical Neurophysiology, 1995, p. 18P, vol. 95, No. 2.
155Sackellares, J.C. et al., "Dynamical Studies of Human Hippocampus in Limbic Epilepsy," Neurology, Apr. 1995, p. A404-A405, vol. 45, Suppl. 4.
156Sackellares, J.C. et al., "Epilepsy—When Chaos Fails," in Chaos in the Brain? K. Lehnertz et al. (Eds.), Jan. 3, 2000, pp. 1-22.
157Sackellares, J.C. et al., "Epileptic Seizures as Neural Resting Mechanisms," Epilepsia, Abstracts from the 22nd International Epilepsy Congress, Dublin Ireland, Jun. 29-Jul. 4, 1997, 1 page, vol. 38, Suppl. 3, Lippincott-Raven Publishers.
158Sackellares, J.C. et al., "Measurement of Chaos to Localize Seizure Onset," Epilepsia, Sep./Oct. 1989, p. 663, vol. 30, No. 5.
159Sackellares, J.C. et al., "Predictability Analysis for an Automated Seizure Prediction Algorithm," Journal of Clinical Neurophysiology, Dec. 2006, pp. 509-520, vol. 23, No. 6.
160Sackellares, J.C. et al., "Relationship Between Hippocampal Atrophy and Dynamical Measures of EEG in Depth Electrode Recordings," Electroencephalography and Clinical Neurophysiology, Jan. 1997, vol. 102, No. 1.
161Salant, Y. "Prediction of Epileptic Seizures from Two-Channel EEG," Medical & Biological Engineering & Computing, Sep. 1998, pp. 549-556, vol. 36.
162Schelter, B. et al., "Testing for Directed Influences Among Neural Signals Using Partial Directed Coherence," Journal of Neuroscience Methods, 2005, pp. 1-10, Elsevier.
163Schelter, B. et al., "Testing Statistical Significance of Multivariate Time Series Analysis Techniques for Epileptic Seizure Prediction," Chaos, 2006, pp. 1-10, vol. 16, No. 013108.
164Schindler, K. et al., "EEG Analysis with Simulated Neuronal Cell Models Helps to Detect Pre-Seizure Changes," Clinical Neurophysiology, 2002, pp. 604-614, vol. 113, Elsevier.
165Schwartzkroin, P.A., "Progres in Epilepsy Research—Origins of the Epileptic State," Epilepsia, 1997, pp. 853-858, vol. 38, No. 8, Lippincott-Raven Publishers.
166Sheridan, T.B., "Humans and Automation—System Design and Research Issues," HFES Issues in Human Factors and Ergomonics Series, 2002, 6 pages, vol. 3, John Wiley & Sons, Inc.
167Shoeb, A. et al., "Patient-Specific Seizure Detection," MIT Computer Science and Artificial Intelligence Laboratory, Epilepsy & Behavior, 2004, pp. 193-194.
168Staba, R.J. et al., "Quantitative Analysis of High-Frequency Oscillations (80-500 Hz) Recorded in Human Epileptic Hippocampus and Entorhinal Cortex," J. Neurophysiology, 2002, pp. 1743-1752, vol. 88.
169Stefanski, A. et al., "Using Chaos Synchronization to Estimate the Largest Lyapunov Exponent of Nonsmooth Systems," Discrete Dynamics in Nature and Society, 2000, pp. 207-215, vol. 4.
170Subasi, A. et al., "Classification of EEG Signals Using Neural Network and Logistic Regression," Computer Methods and Programs in Biomedicine, 2005, pp. 87-99, vol. 78, Elsevier.
171Szoka, Jr., F. et al., "Procedure for Preparation of Liposomes with Large Internal Aqueous Space and High Capture by Reverse-Phase Evaporation," Proc. Natl. Acad. Sci., Sep. 1978, pp. 4194-4198, vol. 75, No. 9.
172Tass, P. et al., "Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography," Physical Review Letters, Oct. 12, 1998, pp. 3291-3294, vol. 81, No. 15.
173Terry, J.R. et al., "An Improved Algorithm for the Detection of Dynamical Interdependence in Bivariate Time-Series," Biol. Cybern., 2003, pp. 129-136, vol. 88.
174Tetzlaff, R. et al., "Cellular Neural Networks (CNN) with Linear Weight Functions for a Prediction of Epileptic Seizures," International Jounal of Neural Systems, 2003, pp. 489-498, vol. 13, No. 6, World Scientific Publishing Company.
175Theiler, J. et al., "Testing for Nonlinearity in Time Series: the Method of Surrogate Data," Physica D, 1992, pp. 77-94, vol. 58.
176Tsakalis, K.S., "Prediction and Control of Epileptic Seizures: Coupled Oscillator Models," Arizona State University, no date, 53 pages.
177Tsakalis, K.S., "Prediction and Control of Epileptic Seizures: Coupled Oscillator Models," Part 1, Arizona State University, no. date, 25 pages.
178Tsakalis, K.S., "Prediction and Control of Epileptic Seizures: Coupled Oscillator Models," Part 2, Arizona State University, no. date, 28 pages.
179Van Drongelen, W. et al., "Seizure Anticipation in Pediatric Epilepsy: Use of Kolmogorov Entropy," Pediatric Neurology, 2003, pp. 207-213, vol. 29, No. 3.
180Van Putten, M.J.A.M., "Nearest Neighbor Phase Synchronization as a Measure to Detect Seizure Activity from Scalp EEG Recordings," Journal of Clinical Neurophysiology, 2003, pp. 320-325, vol. 20, No. 5.
181Venugopal, R. et al., "A New Approach Towards Predictability of Epileptic Seizures: KLT Dimension," ISA, 2003, Paper #2003-022, pp. 123-128.
182Vonck, K. et al., "Long-Term Amygdalohippocampal Stimulation for Refractory Temporal Lobe Epilepsy," Annals of Neurolology, Nov. 2002, pp. 556-565, vol. 52, No. 5.
183Vonck, K. et al., "Long-Term Deep Brain Stimulation for Refractory Temporal Lobe Epilepsy," Epilepsia, 2005, pp. 98-99, vol. 46, Suppl. 5.
184Vonck, K. et al., "Neurostimulation for Refractory Epilepsy," Acta Neurol. Belg., 2003, pp. 213-217, vol. 103.
185Weiss, P., "Seizure Prelude Found by Chaos Calculation," ScienceNewsOnline, May 23, 1998, [online] [Retrieved on Oct. 18, 2005] Retrieved from the Internet<URL:http://www.sciencenews.org/pages/sn—arc98/5—23—98/fob2.htm>.
186Wells, R.B., "Spatio-Temporal Binding and Dynamic Cortical Organization: Research Issues," Mar. 2005, pp. 1-68.
187Widman, G. et al., "Reduced Signal Complexity of Intracellular Recordings: A Precursor for Epileptiform Activity?" Brain Research, 1999, pp. 156-163, vol. 836, Elsevier.
188Winterhalder, M. et al., "Sensitivity and Specificity of Coherence and Phase Synchronization Analysis," Dec. 28, 2004, pp. 1-21.
189Winterhalder, M. et al., "The Seizure Prediction Characteristic: A General Framework to Assess and Compare Seizure Prediction Methods," Epilepsy & Behavior, 2003, pp. 318-325, vol. 4.
190Wong, S. et al., "A Stochastic Framework for Evaluationg Seizure Prediction Algorithms Using Hidden Markov Models," J. Neurophysiol., Oct. 4, 2006, pp. 2525-2532, vol. 97.
191Yang, H-J. et al., "Relation Between Responsiveness to Neurotransmitters and Complexity of Epileptiform Activity in Rat Hippocampal CA1 Neurons," Epilepsia, 2002, pp. 1330-1336, vol. 43, No. 11.
192Yang, K. et al., "A Supervised Feature Subset Selection Technique for Multivariate Time Series," Proceedings of the Workshop on Feature Selection for Data Mining, 2005 SIAM International Conference on Data Mining, Apr. 23, 2005, Newport Beach, CA, 10 pages.
193Yang, K. et al., "CleVer: A Feature Subset Selection Technique for Multivariate Time Series," PAKDD 2005, LNAI 3518, T.B. Ho et al. (Eds.), 2005, pp. 516-522, Springer-Verlag.
194Yang, M.C.K. et al., "Testing Whether a Prediction Scheme is Better Than Guess," Chapter 14, Quantitative Neuroscience, 2004, pp. 251-262, Springer.
195Yatsenko, V. et al., "Geometric Models, Fiber Bundles and Biomedical Applications," Proceedings of Institure of Mathematics of NAS of Ukraine, 2004, pp. 1518-1525, vol. 50, Part 3.
196Zhang, X. et al., "High-Resolution EEG: Cortical Potential Imaging of Interictal Spikes," Clinical Neurophysiology, 2003, pp. 1963-1973, vol. 114.
197Zhaveri, H.P. et al., "Time-Frequency Analyses of Non-Stationary Brain Signals," Electroencephalography & Clinical Neurophysiology, Aug. 1991, pp. 28P-29P, vol. 79, No. 2.
Classifications
U.S. ClassificationD24/186