Method for identification of pathological brain activity from scalp electroencephalogram

US11684303B2 · kind B2 · utility

Assignees

• Bioserenity · FR
• ICM (Institut Du Cerveau Et De La Moellle Épiniére) · FR
• APHP (ASSISTANCE PUBLIQUE HÔPITAUX DE PARIS) · FR
• CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE · FR
• INSERM (INSTITUT NATIONAL DE LA SANTÉ ET DE LA RECHERCHE MÉDICALE) · FR
• Sorbonne Universite · FR

Inventors

• Jan Pyrzowski · Paris, FR
• Michel Le Van Quyen · Paris, FR
• Jean-Eudes Le Douget · Paris, FR

Key dates

• Filing date: Mar 30, 2018
• Grant date: Jun 27, 2023
• Expiry date: Mar 8, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/20
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

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.