Noninvasive nonlinear systems and methods for predicting seizure

• US 20060200038A1
• Filed: 09/12/2003
• Published: 09/07/2006
• Est. Priority Date: 09/13/2002
• Status: Abandoned Application

• Current Assignee: Board of Regents of the University of Michigan (University of Michigan)
• Original Assignee: Board of Regents of the University of Michigan (University of Michigan)
• Inventors: Zhou, Weiping, Li, Dingzhou, Drury, Ivo, Savit, Robert
• Application Number:
  US10/527,781
• Publication Number:
  US 20060200038A1
• Time in Patent Office: Days
• US Class Current: 600/544
• 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 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period

Abstract

The present invention relates to methods and devices for noninvasive nonlinear prediction of ictal onset in patients afflicted by neurological disease. In particular, the present invention provides methods and devices for noninvasive nonlinear prediction of seizures in patients afflicted with epilepsy. The devices and methods preferably being based on analysis of two or more electroencephalogram (EEG) recordings, one set of recordings taken from an electrode close to the region of ictal onset, and a second or more set of recordings (e.g., concurrent readings) taken from a region remote from the region of ictal onset.

Claims

1. A system for predicting ictal onset in a subject comprising:

a. a first data sensor positioned on the scalp of a subject near the focal point of ictal onset;

b. a second data sensor positioned on the scalp of said subject, wherein said second data sensor is remote from said first data sensor; and

c. a processor configured to analyze data collected from said first and said second data sensors to provide a nonlinear mathematical manipulation of said data collected from said first and from said second data sensors, wherein said nonlinear mathematical manipulation produces a first marginal predictability value, and a second marginal predictability value.

2. The system of claim 1, wherein said first and said second data sensors comprise electrodes.

3. The system of claim 2, wherein said electrodes record electroencephalogram data from said subject.

4. The system of claim 1, wherein said processor compares the difference between said first marginal predictability value and said second marginal predictability value.

5. The system of claim 4, wherein said difference between said first marginal predictability value and said second marginal predictability value decreases indicting ictal onset.

6. The system of claim 1, further comprising a subject warning device configured to receive information from said processor.

7. The system of claim 6, wherein said information comprises information predictive of an ictal onset.

8. The system of claim 6, wherein said subject warning device comprises at least one alarm selected from the group consisting of audible, visual, and tactile alarms.

9. The system of claim 1, wherein said processor further comprises a computer readable memory.

10. The system of claim 1, further comprising an anti-seizure agent administering device in communication with said processor wherein said anti-seizure agent administering device administers an anti-seizure agent to the subject.

11. The system of claim 10, wherein said anti-seizure agent administering device is selected from the group consisting if micro pumps and electrical stimuli devices.

12. A method for predicting ictal onset in a subject comprising:

a. providing;

i. a subject;

ii. a system configured to detect ictal onset, wherein said system comprises;

a first data sensor positioned on the scalp of said subject near the focal point of ictal onset;

a second data sensor positioned on the scalp of said subject, wherein said second data sensor is remote from said first data sensor;

iii. a processor configured to analyze data collected from said first and said second data sensors to provide a nonlinear mathematical manipulation of said data collected from said first and from said second data sensors, wherein said nonlinear mathematical manipulation produces a first marginal predictability value, and a second marginal predictability value; and

iv. a subject warning device in communication with said processor; and

b. contacting said subject with said system;

c. determining said first marginal predictability value and a second marginal predictability value;

d. predicting ictal onset in said patient by difference in said first marginal predictability value and a second marginal predictability value.

13. The method of claim 12, wherein said first and said second data sensors comprise electrodes.

14. The method of claim 12, wherein said electrodes record electroencephalogram data from said subject.

15. The method of claim 12, wherein said processor compares the difference between said first marginal predictability value and said second marginal predictability value.

16. The method of claim 15, wherein said difference between said first marginal predictability value and a second marginal predictability value decreases indicting ictal onset.

17. The method of claim 12, further comprising providing a subject warning device configured to receive information from said processor.

18. The method of claim 17, wherein said information comprises information predictive of an ictal onset.

19. The method of claim 17, wherein said subject warning device comprises at least one alarm selected from the group consisting of audible, visual, and tactile alarms.

20. The method of claim 12, further comprising an anti-seizure agent administering device in communication with said processor wherein said anti-seizure agent administering device administers an anti-seizure agent to the subject.

21. The system of claim 20, wherein said anti-seizure agent administering device is selected from the group consisting if micro pumps and electrical stimuli devices.