US 11,684,303 B2
Method for identification of pathological brain activity from scalp electroencephalogram
Jan Pyrzowski, Paris (FR); Michel Le Van Quyen, Paris (FR); and Jean-Eudes Le Douget, Paris (FR)
Assigned to 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); and Sorbonne Universite, Paris (FR)
Appl. No. 16/499,445
Filed by 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); and SORBONNE UNIVERSITE, Paris (FR)
PCT Filed Mar. 30, 2018, PCT No. PCT/EP2018/058292
§ 371(c)(1), (2) Date Sep. 30, 2019,
PCT Pub. No. WO2018/178333, PCT Pub. Date Oct. 4, 2018.
Claims priority of application No. 17164291 (EP), filed on Mar. 31, 2017.
Prior Publication US 2021/0093247 A1, Apr. 1, 2021
Int. Cl. A61B 5/00 (2006.01); A61B 5/372 (2021.01); A61B 5/31 (2021.01); A61B 5/291 (2021.01)
CPC A61B 5/372 (2021.01) [A61B 5/291 (2021.01); A61B 5/31 (2021.01); A61B 5/4094 (2013.01); A61B 5/7246 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A computer-implemented method for detecting brain activity patterns from a scalp electroencephalographic signal, the method comprising the steps of:
a) obtaining electroencephalographic signals as a function of multiple channels and time;
b) identifying, for each channel, the zero-crossings of its corresponding electroencephalographic signal over a fixed threshold;
c) generating a zero-crossing representation of the electroencephalographic signals with the identified zero-crossings;
d) obtaining at least one reference family of functions of time and channels from a zero-crossing statistical analysis of a zero-crossing representation of pre-recorded electroencephalographic signals, the functions of the at least one reference family of functions being real functions;
e) for each segment of a plurality of segments of the generated zero-crossing representation, calculating a corresponding matching score by comparing said zero-crossing representation of the segment with at least one reference function from the at least one reference family of functions;
f) monitoring an evolution of the matching score over time based on a set of matching scores for successive segments of the generated zero-crossing representation;
wherein, for each segment, the corresponding matching score relative to a zero-crossing representation of a segment for one reference function T centered in t0 is defined by the formula:
ST(t0)=Σk εKΣtεϕ(k,t0)Tk(t−t0),
wherein ST(t0) is the matching score, the first sum runs over the set of channels k εK, and the second sum runs over a defined subset t εϕ(k, t0) of zero-crossings for each channel k of the segment surrounding t0; and
g) determining a state of the brain based on the evolution of the matching score.