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1. (WO2018178333) METHOD FOR IDENTIFICATION OF PATHOLOGICAL BRAIN ACTIVITY FROM SCALP ELECTROENCEPHALOGRAM

Pub. No.:    WO/2018/178333    International Application No.:    PCT/EP2018/058292
Publication Date: Fri Oct 05 01:59:59 CEST 2018 International Filing Date: Sat Mar 31 01:59:59 CEST 2018
IPC: A61B 5/00
A61B 5/0476
Applicants: BIOSERENITY
ICM (INSTITUT DU CERVEAU ET DE LA MOELLE ÉPINIÈRE)
APHP (ASSISTANCE PUBLIQUE - HÔPITAUX DE PARIS)
UNIVERSITÉ PIERRE ET MARIE CURIE - PARIS 6 (UPMC)
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
INSERM (INSTITUT NATIONAL DE LA SANTÉ ET DE LA RECHERCHE MÉDICALE)
Inventors: PYRZOWSKI, Jan
LE VAN QUYEN, Michel
LE DOUGET, Jean-Eudes
Title: METHOD FOR IDENTIFICATION OF PATHOLOGICAL BRAIN ACTIVITY FROM SCALP ELECTROENCEPHALOGRAM
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 function of time by sliding the at least one reference function from the reference family of functions over the electroencephaiographic signal.