ICM (INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE);APHP (ASSISTANCE PUBLIQUE-HOPITAUX DE PARIS);INSERM (INSTITUT NATIONAL DE LA SANTE ET DE LA ;CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE;BIOSERENITY
发明人:
PYRZOWSKI, JAN,LE VAN QUYEN, MICHEL,LE DOUGET, JEAN-EUDES
申请号：
CA3058261
公开号：
CA3058261A1
申请日:
2018.03.30
申请国别(地区):
CA
年份:
2018
代理人:
摘要：
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 function of time by sliding the at least one reference function from the reference family of functions over the electroencephaiographic signal.
