SYSTEM AND METHOD FOR TEMPORAL AND SPATIAL DETECTION OF SEIZURE ONSET

• US 20180098725A1
• Filed: 04/17/2017
• Published: 04/12/2018
• Est. Priority Date: 10/07/2016
• Status: Active Grant

• Current Assignee: Chung SHAN Medical University Hospital (Chung SHAN Medical University)
• Original Assignee: Chung SHAN Medical University Hospital (Chung SHAN Medical University)
• Inventors: HSIN, YUE-LOONG, PENG, SYU-JYUN
• Granted Patent: US 10,448,878 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/291 for electroencephalography [EEG]
• 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: A61M 5/172 electrical or electronic A61M5/16804, A61M5/16831 take precedence
• CPC Class Codes: A61N 1/0526 Head electrodes A61N1/0551 takes precedence
• CPC Class Codes: A61N 1/0531 Brain cortex electrodes
• CPC Class Codes: A61N 1/0534 Electrodes for deep brain stimulation

Abstract

Many electrodes are positioned inside a skull for obtaining several electric voltage variation wave information. A processing unit computes subtract operation between two neighboring electrical voltage variation wave information respectively and then can obtain electrical voltage difference waves. Furthermore, each electrical voltage difference wave is separated into a first band wave signal and a second band wave signal. After which, several first band wave envelope signals and second band wave envelope signals are obtained. It conducts a co-relation processing about the first band wave envelope signals and the second band wave envelope signals. So, a co-relation table is obtained for determining a position where an intracranial brain wave abnormality occurs. In this invention, a unique scientific approach to determine the spatial position of seizure onset occurred inside the brain. In addition, the position of intracranial brain wave abnormality can be concretized and visualized by the co-relation table.

Claims

1. A system for temporal and spatial detection of seizure onset comprising:

an electrode unit for positioning inside a brain portion, said electrode unit including at least one electrode collection sub-unit, each electrode collection sub-unit containing a plurality of electrodes for corresponding a plurality of detection points, the quantity of the electrodes being defined as M, the quantity of detection points being defined as M as well; and

a processing unit being electrically connected to said electrode unit and including an original electrical voltage collecting module, an electrical voltage difference processing module, a frequency separating processing module, an electrical voltage wave envelope processing module, and a co-relation processing module;

said original electrical voltage collecting module being able to detect said detection points via said electrodes for a working time so as to obtain a plurality of electric voltage variation wave information;

wherein the quantity of M being a positive integer and being greater than or equal to 4;

said electrical voltage difference processing module which connects with said original electrical voltage collecting module being able to get all the electric voltage variation wave information having the quantity of M and then to compute a subtract operation between two neighboring electrical voltage variation wave information respectively, finally a plurality of electrical voltage difference waves having the quantity of M−

1 being obtained;

said frequency separating processing module which connects with said electrical voltage difference processing module being able to conduct a frequency separating process for every electrical voltage difference wave, so that each electrical voltage difference wave being filtered out and separated into a first band wave signal and a second band wave signal, in which said first band wave signal having a frequency range of 80-250 Hz, said second band wave signal having a frequency range of 250-600 Hz;

said electrical voltage wave envelope processing module which connects with said frequency separating processing module to get a plurality of wave envelope lines of said first band wave signals so as to obtain several first band wave envelope signals and to get a plurality of wave envelope lines of said second band wave signals so as to obtain several second band wave envelope signals; and

said co-relation processing module which connects with said electrical voltage wave envelope processing module being able to conduct a co-relation processing during a time segment of said working time about said first band wave envelope signals and said second band wave envelope signals, so that a co-relation table in a two-dimensional (M−

1) by (M−

1) form, so as to determine a position where an intracranial brain wave abnormality occurs.

2. The system for temporal and spatial detection of seizure onset as claimed in claim 1, wherein said electrode unit being formed as an elongated thin film, a rectangular thin film or a needle structure, or a combination thereof;

when said electrode unit being the elongated thin film, said electrodes having the quantity of M being aligned, said electrode unit being provided for placing on an outer surface of a brain portion;

when said electrode unit being said rectangular thin film, said electrode units containing several electrode collection sub-units that are parallel and connected each other, said quantity of N being greater than or equal to three;

when said electrode unit being shaped as said needle structure, said electrode unit being provided for inserting into said brain portion.

3. The system for temporal and spatial detection of seizure onset as claimed in claim 1, wherein for each electrode collection sub-unit, every two neighboring electrodes containing a middle zone corresponding to a specific electrical voltage difference wave;

and a sampling rate being at least 4 kHz.

4. The system for temporal and spatial detection of seizure onset as claimed in claim 1, said processing unit further comprising:

a visualization processing module connecting with the co-relation processing module and being able to process values in said (M−

1)×

(M−

1) co-relation table by converting into predetermined colors or grey scales so as to provide a (M−

1)×

(M−

1) color blocks in said co-relation table 30,40 for better visualization effect.

5. A method for temporal and spatial detection of seizure onset comprising:

an original electrical voltage collecting step;

providing an electrode unit for positioning inside a brain portion, said electrode unit including at least one electrode collection sub-unit, each electrode collection sub-unit containing a plurality of electrodes for corresponding a plurality of detection points, the quantity of the electrodes being defined as M, the quantity of detection points being defined as M as well;

said electrode unit detecting said detection points via said electrodes for a working time so as to obtain a plurality of electric voltage variation wave information;

wherein the quantity of M being a positive integer and being greater than or equal to 4;

an electrical voltage difference processing step;

providing a processing unit being electrically connected to said electrode unit, getting all the electric voltage variation wave information having the quantity of M and then computing subtract operation between two neighboring electrical voltage variation wave information respectively, finally a plurality of electrical voltage difference waves having the quantity of M−

1 being obtained;

a frequency separating processing step;

said processing unit conducting a frequency separating process for every electrical voltage difference wave, so that each electrical voltage difference wave being filtered out and separated into a first band wave signal and a second band wave signal, in which said first band wave signal having a frequency range of 80-250 Hz, said second band wave signal having a frequency range of 250-600 Hz;

an electrical voltage wave envelope processing step;

said processing unit getting a plurality of wave envelope lines of said first band wave signals so as to obtain several first band wave envelope signals and getting a plurality of wave envelope lines of said second band wave signals so as to obtain several second band wave envelope signals; and

a co-relation processing step;

said processing unit conducting a co-relation processing during a time segment of said working time about said first band wave envelope signals and said second band wave envelope signals, so as to obtain a co-relation table for determining a position where an intracranial brain wave abnormality occurs.

6. The method for temporal and spatial detection of seizure onset as claimed in claim 5, wherein said electrode unit being formed as an elongated thin film, a rectangular thin film or a needle structure, or a combination thereof;

when said electrode unit being the elongated thin film, said electrodes having the quantity of M being aligned, said electrode unit being provided for placing on an outer surface of a brain portion;

when said electrode unit being said rectangular thin film, said electrode units containing several electrode collection sub-units that are parallel and connected each other, said quantity of N being greater than or equal to three;

when said electrode unit being shaped as said needle structure, said electrode unit being provided for inserting into said brain portion.

7. The method for temporal and spatial detection of seizure onset as claimed in claim 5, wherein for each electrode collection sub-unit, every two neighboring electrodes containing a middle zone corresponding to a specific electrical voltage difference wave;

and a sampling rate being at least 4 kHz.

8. The method for temporal and spatial detection of seizure onset as claimed in claim 5, said processing unit further comprising:

a visualization processing module connecting with the co-relation processing module and being able to process values in said (M−

1)×

(M−

1) co-relation table by converting into predetermined colors or grey scales so as to provide a (M−

1)×

(M−

1) color blocks in said co-relation table 30,40 for better visualization effect.