SEIZURE PREDICTION USING BRAIN SIGNAL TELEMETRY

• US 20080243022A1
• Filed: 03/30/2007
• Published: 10/02/2008
• Est. Priority Date: 03/30/2007
• Status: Abandoned Application

• Current Assignee: Bio-Signal Group Corp.
• Original Assignee: Bio-Signal Group Corp.
• Inventors: Fenton, Andre, Donnett, James G.
• Application Number:
  US11/694,855
• Publication Number:
  US 20080243022A1
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/372 Analysis of electroencephalograms
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/4261 Evaluating exocrine secretion production A61B3/101 takes precedence
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period

Abstract

An ambulatory intrinsic brain signal processor circuit is coupled to a plurality of electrodes. The signal processor circuit can include a digital multiplexer circuit coupled to the electrodes to multiplex brain signal data from different electrodes together into a multiplexed data stream. An ambulatory transceiver circuit wirelessly communicates information to and from a remote transceiver. A controller circuit permits a user to control which of the electrodes contribute data, a data resolution, and whether the data includes one or both of neural action or local field potential data. Seizure prediction components and methods are also described.

Claims

1. A method comprising:

receiving a Normal template providing an indication of correlation of intrinsic brain potentials during at least one non-seizure time period of a subject, wherein the non-seizure time period excludes a seizure time period of a seizure, and wherein the non-seizure time period excludes at least a first specified time period preceding the seizure;

receiving a Non-Normal template providing an indication of correlation of the brain potentials during at least one pre-seizure time period or seizure time period of the subject, wherein the pre-seizure time period is less than or equal to a second specified time period before the seizure, and wherein the seizure occurs during the seizure time period;

monitoring intrinsic brain potentials using at least two different locations of a brain of the subject and forming an indication of correlation of the brain potentials at the at least two different locations during a sampling time period; and

predicting an upcoming seizure at least in part by comparing the indication of correlation of the brain potentials obtained during the sampling time period to each of the Normal and Non-Normal templates.

2. The method of claim 1, comprising:

receiving a seizure occurrence input to establish a time of at least one known seizure of a subject;

monitoring brain potentials using at least two different locations of the brain of the subject; and

forming the Normal and Non-Normal templates using information from the monitoring and the time of the at least one known seizure of the subject.

3. The method of claim 1, wherein the intrinsic brain potentials are local field potentials.

4. The method of claim 1, wherein the intrinsic brain potentials are intrinsic neuronal action potentials.

5. The method of claim 4, wherein the monitoring intrinsic brain potentials comprises:

acquiring and digitizing neuronal action potential signals at separate locations of different electrodes;

communicating information about the digitized action potential signals to an ambulatory transmitter circuit located at the subject; and

transmitting information about the digitized action potential signals to at least one of a local or remote user-interface device.

6. The method of claim 4, wherein the monitoring intrinsic brain potentials comprises monitoring single-unit activity (SUA) of individual neurons.

7. The method of claim 4, wherein the monitoring intrinsic brain potentials comprises monitoring multi-unit activity (MUA) of a set of nearby individual neurons.

8. The method of claim 1, wherein the monitoring includes counting a number of neuronal signal energy indications that exceed a specified threshold value.

9. The method of claim 1, wherein the monitoring includes integrating a neuronal signal over time.

10. The method of claim 1, wherein the first specified time period is at least one hour.

11. The method of claim 1, wherein the second specified time period is less than or equal to one hour.

12. The method of claim 1, wherein at least one of the first and second specified time periods is user-programmable for a particular subject.

13. The method of claim 1, wherein at least one of the Normal template, the Non-Normal template, and the forming of the indication of correlation during a sampling time period comprises measuring a covariance of an brain potential indication using at least two different locations of a brain of the subject.

14. The method of claim 1, wherein predicting an upcoming seizure comprises:

providing a greater likelihood of the upcoming seizure when the indication of correlation obtained during the seizure prediction time becomes less closely matched to the indication of correlation of the Normal template and becomes more closely matched to the indication of correlation of the Non-Normal template; and

providing an alert when the likelihood of the upcoming seizure exceeds a specified alert threshold value.

15. The method of claim 1, wherein receiving a Non-Normal template comprises receiving a Pre-Seizure template providing an indication of correlation of the brain potentials during at least one pre-seizure time period of the subject, wherein the pre-seizure time period is less or equal to a second specified time period before the seizure.

16. An apparatus comprising:

means for providing a Normal template providing an indication of correlation of intrinsic brain potentials during at least one non-seizure time period of a subject, wherein the non-seizure time period excludes a seizure time period of a seizure, and wherein the non-seizure time period excludes at least a first specified time period preceding the seizure;

means for providing a Non-Normal template providing an indication of correlation of the brain potentials during at least one pre-seizure time period or seizure time period of the subject, wherein the pre-seizure time period is less or equal to a second specified time period before the seizure, and wherein the seizure occurs during the seizure time period;

means for monitoring intrinsic brain potentials using at least two different locations of a brain of the subject and forming an indication of correlation of the brain potentials at the at least two different locations during a sampling time period; and

means for predicting an upcoming seizure at least in part by comparing the indication of correlation of the brain potentials obtained during the sampling time period to each of the Normal and Non-Normal templates.

17. The apparatus of claim 16, wherein the means for the monitoring brain potentials comprises:

separate electrodes, each electrode including an integrated sensing circuit and an integrated digitizing circuit located at that electrode; and

an ambulatory transmitter circuit located at the subject, the transmitter circuit communicatively coupled to the electrodes, the transmitter configured for wireless data transmission to a local or remote external receiver.

18. The apparatus of claim 16, wherein the means for predicting an upcoming seizure using a comparing of the indication of correlation obtained during the sampling time period to each of the Normal and Non-Normal templates comprises:

a seizure likelihood indicator that is configured to provide a greater likelihood of the upcoming seizure when the indication of correlation obtained during the seizure prediction time becomes less closely matched to the indication of correlation of the Normal template and more closely matched to the indication of correlation of the Non-Normal template; and

an alert comparator circuit, coupled to the seizure likelihood indicator, the alert comparator circuit configured to provide an alert when the likelihood of the upcoming seizure exceeds a specified alert threshold value.

19. An apparatus comprising:

an intrinsic brain potentials monitor circuit, configured to monitor brain potentials using at least two different locations of a brain of the subject; and

a neuronal signal processor circuit, comprising;

a Normal template, providing an indication of correlation of the brain potentials during at least one non-seizure time period of the subject, wherein the non-seizure time period excludes a time period during a seizure, and wherein the non-seizure time period excludes at least a first specified time period preceding the seizure;

a Non-Normal template, providing an indication of correlation of the brain potentials during at least one pre-seizure time period or seizure time period of the subject, wherein the pre-seizure time period is less or equal to a second specified time period before the seizure, and wherein the seizure occurs during the seizure time period;

a monitoring circuit, configured to form, during a sampling time period, an indication of correlation of the brain potentials using the at least two different locations of a brain of the subject; and

an upcoming seizure prediction circuit, configured to predict an upcoming seizure at least in part by comparing the indication of correlation obtained during the sampling time period to each of the Normal and Non-Normal templates.

20. The apparatus of claim 19, comprising a seizure occurrence input, configured to receive information to establish a time of at least one known seizure of a subject for use in forming at least one of the Normal template and the Non-Normal template.

21. The apparatus of claim 19, wherein the intrinsic brain potentials are local field potentials.

22. The apparatus of claim 19, wherein the intrinsic brain potentials are intrinsic neuronal action potentials.

23. The apparatus of claim 22, wherein the brain potentials monitor circuit comprises:

separate electrodes, each electrode including an integrated sensing circuit and an integrated digitizing circuit located at that electrode; and

an ambulatory transmitter circuit located at the subject, the transmitter circuit communicatively coupled to the electrodes, the transmitter configured for wireless data transmission to a local or remote external receiver.

24. The apparatus of claim 22, wherein the brain potentials monitor circuit comprises a multi-unit activity (MUA) monitor circuit configured for monitoring neuronal activity of a set of nearby individual neurons.

25. The apparatus of claim 24, wherein the MUA monitor circuit comprises:

a signal comparator, configured for determining whether a neuronal signal energy indication exceeds a specified threshold value; and

a counter, coupled to the signal comparator, the counter configured to count a number of neuronal signal energy indications that exceed the specified threshold value.

26. The apparatus of claim 22, wherein the MUA monitor circuit comprises a signal integrator configured to integrate a neuronal signal over time.

27. The apparatus of claim 19, wherein at least one of the Normal template, the Non-Normal template, and monitoring circuit comprises a covariance determination circuit configured to measure a covariance of a brain potential indication using at least two different locations of a brain of the subject.

28. The apparatus of claim 19, wherein upcoming seizure prediction circuit comprises:

a first comparator circuit, coupled to the Normal template and the monitoring circuit, and configured to compare an indication of correlation obtained during the sampling time period to an indication of correlation associated with the Normal template;

a second comparator circuit, coupled to the Non-Normal template and the monitoring correlation circuit, and configured to compare an indication of correlation obtained during the sampling time period to an indication of correlation associated with the Non-Normal template;

a seizure likelihood determination circuit, coupled to the first and second comparator circuits, the seizure likelihood determination circuit configured to provide a greater likelihood of the upcoming seizure when the indication of correlation obtained during the seizure prediction becomes less closely matched to the indication of correlation of the Normal template and becomes more closely matched to the indication of correlation of the Non-Normal template; and

an alert circuit, configured to provide an alert when the likelihood of the upcoming seizure exceeds a specified alert threshold value.

29. The apparatus of claim 19, wherein the Non-Normal template is a Pre-Seizure template providing an indication of correlation of the brain potentials during at least one pre-seizure time period of the subject, wherein the pre-seizure time period is less or equal to a second specified time period before the seizure.