Method for identification of pathological brain activity from scalp electroencephalogram

A scalp electroencephalogram and electroencephalogram technology, which can be used in applications, medical automation diagnosis, medical science, etc., and can solve problems such as information loss of phase relationship.

Active Publication Date: 2020-05-01
波尓瑟兰尼提公司 +5
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0021] However, as in US 6,442,421, the method disclosed by Pyrzowski et al., in particular steps d) and e), leads to a loss of information about the recorded phase relationship existing between the different channels

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  • Method for identification of pathological brain activity from scalp electroencephalogram
  • Method for identification of pathological brain activity from scalp electroencephalogram
  • Method for identification of pathological brain activity from scalp electroencephalogram

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Embodiment Construction

[0094]The present invention relates to a computer-implemented method that allows the detection of pathological brain activity patterns by analysis of scalp EEG signals of a subject. The pathological brain activity pattern is characterized by the presence of a specific waveform specific to the brain pathology being examined. According to one embodiment, the computer-implemented method of the present invention identifies segments of the scalp EEG signal exhibiting said pathological brain activity pattern by calculating a matching score by comparing each segment of the signal under study with It is obtained by comparing with the reference function family associated with the pathological state. The matching score is then evaluated according to the pathology analyzed.

[0095] According to one embodiment, the invention comprises a preliminary step of receiving EEG signals of a subject from a plurality of channels and varying in time.

[0096] According to one embodiment, the rece...

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PUM

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Abstract

The present invention relates to a computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephaiographic signal, the method comprising the steps of obtaining (A) an electroencephaiographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero- crossings of the electroencephaiographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephaiographic signal with the identified zero-crossings; obtaining (D) a reference family of real functions of time and channels from a zero-crossing statistical analysis of zero-crossing representation of pre-recorded electroencephaiographic signals; calculating (E) a matching score by comparing said zero-crossing representation of a segment of the electroencephaiographic signal with at least one reference function from the reference family of functions; and computing the matching score as a functionof time by sliding the at least one reference function from the reference family of functions over the electroencephaiographic signal.

Description

technical field [0001] The invention relates to a system and method for analyzing scalp electroencephalogram. In particular, the present invention relates to a method for identifying pathological brain activity patterns in a subject using a non-linear classification method. Background technique [0002] Scalp electroencephalography, which uses electrodes placed on the surface of the scalp to record electrical brain activity, is a fundamental tool in the diagnosis and study of neurological disorders, including epilepsy. [0003] Traditionally, clinical examination of scalp EEG has relied on visual assessment of the morphology and spatial distribution of waveform patterns recorded in multiple channels, a process that is often time-consuming and inefficient. The method of the present invention enables automatic detection of pathological brain activity patterns, such as low-amplitude scalp manifestations of interictal epileptiform discharges, as well as other neurophysiological...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0476
CPCA61B5/7246A61B5/7264A61B5/4094A61B5/7225G16H50/20A61B5/369A61B5/31A61B5/291A61B5/372
Inventor 扬·佩尔乔夫斯基米歇尔·勒凡权让-厄德·勒杜热
Owner 波尓瑟兰尼提公司
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