The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 27, 2023
Filed:
Mar. 30, 2018
Bioserenity, Paris, FR;
Icm (Institut Du Cerveau ET DE LA Moelle Épinière), Paris, FR;
Aphp (Assistance Publique—hôpitaux DE Paris), Paris, FR;
Centre National DE LA Recherche Scientifique, Paris, FR;
Inserm (Institut National DE LA Santé ET DE LA Recherche Médicale), Paris, FR;
Sorbonne Universite, Paris, FR;
Bioserenity, Paris, FR;
ICM (Institut Du Cerveau Et De La Moellle Épiniére), Paris, FR;
APHP (Assistance Publique—Hôpitaux De Paris), Paris, FR;
Centre National De La Recherche Scientifique, Paris, FR;
INSERM (Institut National De La Santé Et De La Recherche Médicale), Paris, FR;
Sorbonne Universite, Paris, FR;
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.