公开(公告)号：US20230248295A1

公开(公告)日：2023-08-10

申请号：US18008775

申请日：2021-06-03

Applicant: INSTITUT MINES TELECOM

Inventor： Nesma HOUMANI ,  Majd ABAZID

IPC: A61B5/374 ,  A61B5/00

CPC classification number: A61B5/374 ,  A61B5/4088 ,  A61B5/7267

Abstract: A method for selecting features for the detection of a given brain condition, the method using a feature selector able to discriminate between at least two brain conditions, and using a plurality of electroencephalogram signals, relative to several brain electrodes and filtered on at least one frequency, the method comprising the following steps:

e) for each signal, computing at least one value quantifying brain activity for each brain electrode;
f) for each signal, performing a thresholding of said computed quantifying values according to at least one threshold percentage, thus forming at least one group of thresholded values corresponding to each signal;
g) using said feature selector to rank said thresholded values; and
h) based on this ranking, selecting at least one feature vector comprising at least one electrode, and one frequency and/or one threshold percentage, and corresponding to the best ranked thresholded values for the detection of said given brain condition.