Centre National De La Recherche Scientifique

Sorbonne Université

Assistance Publique - Hopitaux De Paris (aphp)

Institut National De La Sante Et De La Recherche Medicale

Icm-institut Du Cerveau Et De La Moelle Epiniere

Inserm (institut National De La Sante Et De La Recherche Medicale)

Bioserenity

Bioserentiy

Icm (institut Du Cerveau Et De La Moellle Épiniére)

Icm, Inc.

Aphp

Inserm

Michel Le Van Quyen

Jacques Martinerie

Michel Baulac

Francisco Varela

Stéphane Charpier

Jean-Eudes Le Douget

Séverine Mahon

Bernard Renault

Alexis Genin

Mario Valderrama

Alexis Steiner

Miguel Navarrete

Jean-Philippe Lachaux

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

The present invention relates to methods and devices to consolidate memory and/or cognitive functions by monitoring brain rhythms and delivering a stimulus at an appropriate stage of sleep cycle.

Method and device for enhancing memory consolidation

An in-ear stimulation system including a first device configured to be worn at least partially in a first ear canal of a subject and a second device configured to be worn at least partially in a second ear canal of the subject. Each of the first device and the second device includes:

System for bilateral in-ear EEG recording with closed-loop binaural sensory stimulation

A method for analyzing synchronizations of the electroencephalography of an individual using a set of sensors starting from cerebral electromagnetic analysis of the individual. The method creates a database by acquisition and digitization of electrophysiological signals output from the sensors, and calculates the degree of synchronization existing between all pairs of sensors recorded in an assembly protocol, in frequency bands between 0 and 2000 Hz, to build up the database of classes each characterizing a reference state. The method further performs statistical validation of a period analyzed in real time, which assigns this period to a class in the database, and detects a specific period with a determined degree of synchronization. A device implements this method.

Analysis method and real time medical or cognitive monitoring device based on the analysis of a subject's cerebral electromagnetic activity use of said method for characterizing and differentiating physiological or pathological states

The invention concerns a device and a method for the detection of changes in dynamic properties of electrical brain activity to characterize and to differentiate between physiological and pathological conditions, or to anticipate epileptic seizures.

Device for the medical monitoring in real time of a patient from the analysis of electroencephalograms

A method for the detection of changes in dynamic properties of brain electrical activity is used to characterize and differentiate between physiological and pathological conditions, and to anticipate epileptic seizures. The detection of changes in dynamic properties of brain electrical activity is accomplished by constructing reference dynamics (S ) of a normal state from an EEG, comparing the reference dynamics (S ) with dynamics of a test segment (S ), and computing the similarities over the entire EEG recordings by sliding the test segment (S ) periodically.

METHOD FOR THE MEDICAL MONITORING IN REAL TIME OF A PATIENT FROM THE ANALYSIS OF ELECTROENCEPHALOGRAMS TO CHARACTERIZE AND DIFFERENTIATE BETWEEN PHYSIOLOGICAL OR PATHOLOGICAL CONDITIONS, AND A METHOD FOR ANTICIPATING EPILEPTIC SEIZURES

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Paris, France

Michel Le Van Quyen