IP Library Granted Patent US 8,121,972
Granted Patent B2
US 8,121,972 · App. 12/905,028 · Granted Feb 21, 2012

Reduction of classification error rates and monitoring system using an artificial class

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Quick Facts
Patent No.
US 8,121,972
App. No.
12/905,028
Granted
Feb 21, 2012
Kind
B2
Abstract

Systems and methods for enhancing the accuracy of classifying a measurement by providing an artificial class. Seizure prediction systems may employ a classification system including an artificial class and a user interface for signaling uncertainty in classification when a measurement is classified in the artificial class.

Claims (35)

1. A seizure advisory system, comprising:

a user interface, the user interface comprising:

a first interface configured to provide an indication corresponding to a result of classification of data from a subject corresponding to the subject's susceptibility to a seizure;

a second interface configured to provide an indication of uncertainty when a result of classification of data from a subject is indicative of uncertainty in the classification; and

a third interface configured to receive an input from the subject.

2. The system of claim 1 , wherein the input from the subject indicates that the subject has taken a medication.

3. The system of claim 1 , wherein the input from the subject indicates that the subject has experienced a seizure.

4. The system of claim 1 , further comprising:

an implantable device configured to measure physiological signals from the subject;

wherein the user interface is provided on a device external to the subject's body.

5. The system of claim 4 , wherein the implantable device comprises a classification processor for generating the result of classification of data from the subject.

6. The system of claim 4 , wherein the external device comprises a classification processor for generating the result of classification of data from the subject.

7. The system of claim 1 , wherein the input from the subject comprises an audio input.

8. The system of claim 1 , further comprising an implantable device configured to measure physiological signals from the subject.

9. The system of claim 8 , wherein the implantable device is configured to measure brain activity signals.

10. The system of claim 8 , wherein the implantable device is configured to measure blood oxygenation.

11. The system of claim 8 , wherein the implantable device is configured to measure ECG/EKG.

12. The system of claim 1 , further comprising an implantable device configured to measure physiological signals from the subject.

13. The system of claim 12 , wherein the implantable device comprises subcutaneous electrodes.

14. The system of claim 12 , wherein the implantable device comprises intracranial electrodes.

15. The system of claim 12 , wherein the implantable device comprises a rechargeable battery.

16. A method of providing a seizure advisory to a subject, the method comprising:

providing via a first interface an indication corresponding to a result of classification of data from the subject corresponding to the subject's susceptibility to a seizure;

providing via a second interface an indication of uncertainty when a result of classification of data from a subject is indicative of uncertainty in the classification; and

receiving an input from the subject via a third interface.

17. The method of claim 16 , wherein said receiving the input from the subject comprises receiving an input from the subject indicating that the subject has taken a medication.

18. The method of claim 16 , wherein said receiving the input from the subject comprises receiving an input from the subject indicating that the subject has experienced a seizure.

19. The method of claim 16 , wherein said receiving the input from the subject comprises receiving an audio input from the subject.

20. The method of claim 16 , further comprising measuring physiological signals from the subject using an implanted device.

21. The method of claim 20 , further comprising operating a classification processor to generate the result of classification of data from the subject.

22. The method of claim 20 , wherein said measuring physiological signals from the subject comprises measuring brain activity signals.

23. The method of claim 20 , wherein said measuring physiological signals from the subject comprises measuring blood oxygenation.

24. The method of claim 20 , wherein said measuring physiological signals from the subject comprises measuring ECG/EKG.

25. The method of claim 20 , wherein said measuring physiological signals from the subject comprises measuring physiological signals using subcutaneous electrodes.

26. The method of claim 20 , wherein said measuring physiological signals from the subject comprises measuring physiological signals using intracranial electrodes.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2024
From: LIVANOVA INC.; LIVANOVA USA INC.
To: DILORENZO BIOMEDICAL, LLC
Reel/Frame 067508/0068 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 10, 2013
From: NEUROVISTA CORPORATION
To: CYBERONICS, INC.
Reel/Frame 030192/0408 →
SECURITY AGREEMENT Recorded Sep 14, 2012
From: NEUROVISTA CORPORATION
To: CYBERONICS, INC.
Reel/Frame 028959/0395 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 3, 2011
From: SNYDER, DAVID
To: BIONEURONICS CORPORATION
Reel/Frame 027169/0664 →
CHANGE OF NAME Recorded Nov 3, 2011
From: BIONEURONICS CORPORATION
To: NEUROVISTA CORPORATION
Reel/Frame 027172/0919 →