Method for amplifying abnormal pattern signal in observed brain activity of a subject for diagnosis or treatment

• US 9,538,950 B1
• Filed: 12/31/2012
• Issued: 01/10/2017
• Est. Priority Date: 04/23/2007
• Status: Active Grant

• Current Assignee: NeuroWave Systems Inc.
• Original Assignee: NeuroWave Systems Inc.
• Inventors: Bibian, Stphane, Zikov, Tatjana, Modarres, Mo
• Primary Examiner(s): Kahelin, Michael
• Assistant Examiner(s): TRAN, THO Q
• Application Number:
  US13/731,315
• Time in Patent Office: 1,471 Days
• Field of Search: 600/544, 600/545, 600/504
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/374 Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61N 1/36064 Epilepsy

Abstract

The present invention relates to a brain dysfunction and seizure detector monitor and system, and a method of detecting brain dysfunction and/or seizure of a subject. Preferably, the present invention also includes one or more seizure detection algorithms. The analysis method is specifically optimized to amplify abnormal brain activity and minimize normal background activity yielding a seizure index directly related to the current presence of ictal activity in the signal. Additionally, a seizure probability index based on historical values of the aforementioned seizure index, is derived for diagnostic purposes. The seizure probability index quantifies the probability that the patient has exhibited abnormal brain activity since the beginning of the recording. These indexes can be used in the context of emergency and/or clinical situations to assess the status and well-being of a patient'"'"'s brain, or can be used to automatically administer treatment to stop the seizure before clinical signs appear.

Claims

1. A method for amplifying abnormal pattern signals in brainwaves or other brain related signals of a subject for diagnosis or treatment purposes comprising steps of:

acquiring at least one brain wave or other brain related signal with at least one sensor from a subject;

applying a transform to the at least one brain wave or other brain related signal with a processor to obtain at least two coefficients from the at least one brain wave or other brain related signal;

aligning those coefficients with electronics or the processor corresponding with at least one abnormal pattern signal;

combining the aligned coefficients corresponding with the at least one abnormal pattern signal with electronics or the processor;

outputting a signal or data corresponding to the aligned and combined coefficients to a monitor or a printer;

using the outputted aligned and combined coefficients corresponding with the at least one abnormal pattern signal to identify the subject'"'"'s abnormal pattern signal from the at least one brain wave or other brain related signal; and

diagnosing and/or treating by a care provider or clinician, abnormal brain activity of the subject based at least in part on the identified abnormal pattern signal.

2. The method of claim 1, wherein the diagnosis is performed or treatment administered in real-time.

3. The method of claim 2, further comprising the step of administering a chemical treatment, with a treatment mechanism, to the subject based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal.

4. The method of claim 2, further comprising the step of administering an electrical treatment, with a treatment mechanism, to the subject based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal.

5. The method of claim 1, wherein the aligned and combined coefficients corresponding with the at least one abnormal pattern signal are integrated over time to create an index, and the index is represented as a numerical value corresponding to the level of abnormal pattern signal, and where the index is compared against a predetermined threshold to determine whether seizure activity is occurring in the subject in real-time.

6. The method of claim 1, wherein the transform is applied to the at least one brainwave or other brain related signal with a processor to obtain at least two coefficients in separate and distinct frequency bands from the physiological signal.

7. The method of claim 6, wherein the step of aligning the coefficients is performed on the at least two coefficients in separate and distinct frequency bands by shifting the coefficients in time to align them.

8. A method for amplifying abnormal pattern signals in brainwaves or other brain related signals of a subject for diagnosis or treatment purposes comprising steps of:

acquiring at least one brain wave or other brain related signal with at least one sensor from a subject;

applying a transform to the at least one brain wave or other brain related signal with a processor to obtain at least two coefficients from the brain wave or other brain related signal;

aligning those coefficients with electronics or a processor corresponding with at least one abnormal pattern signal;

combining the aligned coefficients corresponding with the at least one abnormal pattern signal with electronics or the processor;

comparing the aligned and combined coefficients with a predetermined threshold using electronics or the processor;

outputting a signal or data corresponding to the comparison between the aligned and combined coefficients and the threshold to a monitor or a printer;

using the outputted comparison between the aligned and combined coefficients and the threshold to identify an abnormality in the subject'"'"'s at least one brain wave or other brain related signal; and

diagnosing and/or treating, by a care provider or clinician, abnormal brain activity of the subject based at least in part on the identified abnormal pattern signal.

9. The method of claim 8, wherein the diagnosis is performed or treatment administered in real-time.

10. The method of claim 9, further comprising the step of administering a chemical treatment, with a treatment mechanism, to the subject based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal.

11. The method of claim 9, further comprising the step of administering an electrical treatment, with a treatment mechanism, to the subject based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal.

12. The method of claim 8, wherein the aligned and combined coefficients corresponding with the at least one abnormal pattern signal are integrated over time to create an index, and the index is represented as a numerical value corresponding to the level of abnormal pattern signal, and where the index is compared against a predetermined threshold to determine whether seizure activity is occurring in the subject in real-time.

13. The method of claim 8, wherein the transform is applied to the at least one brain wave or other brain related signal with a processor to obtain at least two coefficients in separate and distinct frequency bands from the brain wave or other brain related signal.

14. A method for amplifying abnormal pattern signals in brainwaves or other brain related signals of a subject for diagnosis or treatment purposes comprising steps of:

acquiring at least one brain wave or other brain related signal with at least one sensor from a subject;

applying a redundant time-frequency transform to the at least one brain wave or other brain related signal with a processor to obtain at least two coefficients from the brain wave or other brain related signal;

aligning those coefficients with electronics or the processor corresponding with at least one abnormal pattern signal;

combining the aligned coefficients with electronics or the processor corresponding with the at least one abnormal pattern signal;

applying a filter or an integrator with electronics or the processor to the aligned and combined coefficients;

outputting a signal or data corresponding to the aligned and combined coefficients to a monitor or a printer;

using the outputted aligned and combined coefficients corresponding with the at least one abnormal pattern signal to identify the subject'"'"'s abnormal pattern signal from the at least one brain wave or other brain related signal; and

diagnosing and/or treating, by a care provider or clinician, abnormal brain activity of the subject based at least in part on the identified abnormal pattern signal.

15. The method of claim 14, wherein the diagnosis is performed or treatment administered in real-time.

16. The method of claim 15, further comprising the step of administering a chemical treatment, with a treatment mechanism, to the subject based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal.

17. The method of claim 15, further comprising the step of administering an electrical treatment, with a treatment mechanism, to the subject based at least in part on the aligned and combined coefficients corresponding with the at least one abnormal pattern signal.

18. The method of claim 14, wherein the aligned and combined coefficients corresponding with the at least one abnormal pattern signal are integrated over time to create an index, and the index is represented as a numerical value corresponding to the level of abnormal pattern signal, and where the index is compared against a predetermined threshold to determine whether seizure activity is occurring in the subject in real-time.

19. The method of claim 14, wherein the transform is applied to the at least one brain wave or other brain related signal with a processor to obtain at least two coefficients in separate and distinct frequency bands from the brain wave or other brain related signal.

20. The method of claim 19, wherein the step of aligning the coefficients is performed on the at least two coefficients in separate and distinct frequency bands by shifting the coefficients in time to align them.