Centre National De La Recherche Scientifique

National Institute of Health and Medical Research

Sorbonne Université

Assistance Publique - Hopitaux De Paris (Aphp)

Bioserenity

Icm-Institut Du Cerveau Et De La Moelle Epiniere

Bioserentiy

Icm (Institut Du Cerveau Et De La Moellle Épiniére)

Jean-Eudes Le Douget

Michel Le Van Quyen

Mohcine Heddi

Jan Pyrzowski

A computer-implemented method for detecting pathological brain activity patterns from a scalp electroencephalographic signal, the method including the steps of obtaining (A) an electroencephalographic signal as a function of multiple channels and time; identifying (C), for each channel, the zero-crossings of the electroencephalographic signal over a fixed threshold; generating a zero-crossing representation of at least a segment of the obtained electroencephalographic 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 electroencephalographic signals; calculating (E) a matching score by comparing the zero-crossing representation of a segment of the electroencephalographic 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 electroencephalographic signal.

Method for identification of pathological brain activity from scalp electroencephalogram

A system for calculating an indicator associated to a brain activity of a subject, the system including an acquisition module configured to acquire at least an epoch of electroencephalographic signal of a subject from a plurality of electrodes and a data processing module configured to carry out the steps of: calculating an average vector (V) using as input of an autoencoder neural network (aNN) an electroencephalographic signals (ES) of a subject acquired from a plurality of electrodes; detecting (DET) the presence of at least a predefined pattern in the consecutive average values of the average vector (V); and generating an indicator of brain activity (Idx) of the subject when detecting the predefined pattern.

System and method for calculation of an index of brain activity

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Paris, France

Jean-Eudes Le Douget