WO2024167397 - A METHOD OF PROCESSING BRAIN SIGNALS IN A BRAIN-COMPUTER INTERFACE SYSTEM
National phase entry is expected:
Publication Number
WO/2024/167397
Publication Date
15.08.2024
International Application No.
PCT/MY2024/050008
International Filing Date
06.02.2024
Title **
[English]
A METHOD OF PROCESSING BRAIN SIGNALS IN A BRAIN-COMPUTER INTERFACE SYSTEM
[French]
PROCÉDÉ DE TRAITEMENT DE SIGNAUX CÉRÉBRAUX DANS UN SYSTÈME D'INTERFACE CERVEAU-MACHINE
Applicants **
RAFFLES ISKANDAR SDN BHD
Inventors
ARSOVKI, Sasa
Priority Data
PI2023000598
07.02.2023
MY
Application details
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 1983 | |
| EPO | Filing, Examination, Granting | 10982 | |
| Japan | Filing, Examination, Granting | 2086 | |
| South Korea | Filing, Examination, Granting | 1519 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
21,310
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
The present invention relates to a method (100) of processing brain signals in a brain-computer interface system. The method (100) comprises the steps of obtaining a plurality of brain signals from a brain signal measurement device (101); analysing the brain signals through clustering and matrix transposing (102); extracting features of the analysed brain signals (103); characterized by dividing the extracted features into a plurality of slices (104); transforming the slices into a plurality of grey scale images (105); classifying the brain signals based on the grey scale images through a deep learning classifier (106); and translating the classified brain signals into commands (107).[French]
La présente invention concerne un procédé (100) de traitement de signaux cérébraux dans un système d'interface cerveau-machine. Le procédé (100) comprend les étapes consistant à obtenir une pluralité de signaux cérébraux à partir d'un dispositif de mesure de signaux cérébraux (101) ; à analyser les signaux cérébraux par regroupement et transposition matricielle (102) ; à extraire des caractéristiques des signaux cérébraux analysés (103) ; caractérisé par la division des caractéristiques extraites en une pluralité de tranches (104) ; à transformer les tranches en une pluralité d'images à niveaux de gris (105) ; à classer les signaux cérébraux sur la base des images à niveaux de gris par l'intermédiaire d'un classificateur d'apprentissage profond (106) ; et à traduire les signaux cérébraux classés en commandes (107).