WO2025215147 - IMPROVED DIRECT NEURAL INTERFACE BY DEVELOPMENT OF A MODEL

National phase entry is expected:
Publication Number WO/2025/215147
Publication Date 16.10.2025
International Application No. PCT/EP2025/059869
International Filing Date 10.04.2025
Title **
[English] IMPROVED DIRECT NEURAL INTERFACE BY DEVELOPMENT OF A MODEL
[French] INTERFACE NEURONALE DIRECTE AMÉLIORÉE PAR ÉLABORATION D'UN MODÈLE
Applicants **
ORANGE
Inventors
MICHEL ALMERAS, Yann
PLAPOUS, Cyril
GREGOIRE, Christian
Priority Data
FR2403841   12.04.2024   FR
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Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting2024
EPO Filing, Examination, Granting8113
Japan Filing, Examination, Granting2153
South Korea Filing, Examination, Granting2071
USA Filing, Examination, Granting5340
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Abstract[English] The present description proposes determining a direct neural interface signal by detecting a potential evoked in an electroencephalogram (EEG) signal of a user in response to an emission of a stimulus signal intended for the user, comprising: - obtaining electroencephalogram signals (Su(EEG)) in response to successive emissions of respective stimulus signals (ST1, ST2, ST3, ST4); - obtaining magnetic resonance signals (Su(MRI)) in response to successive emissions of the respective stimulus signals (ST1, ST2, ST3, ST4); - implementing artificial intelligence to distinguish between the obtained electroencephalogram signals (Su(EEG)) by learning from observations of differences between the magnetic resonance signals (Su(MRI)) obtained in response to the same respective stimulus signals (ST1, ST2, ST3, ST4); and - using said artificial intelligence to identify a current stimulus signal on the basis of a current electroencephalogram signal, which was obtained in response to the emission of said current stimulus signal.[French] La présente description propose une détermination d'un signal d'interface neuronale directe par détection d'un potentiel évoqué dans un signal électroencéphalogramme (EEG) d'un utilisateur en réaction à une émission de signal de stimulus destiné à l'utilisateur, comportant: - obtenir des signaux électroencéphalogrammes (Su(EEG)) en réaction à des émissions successives de signaux respectifs de stimulus (ST1, ST2, ST3, ST4), - obtenir des signaux de résonnance magnétique (Su(IRM)) en réaction à des émissions successives desdits signaux respectifs de stimulus (ST1, ST2, ST3, ST4), - mettre en œuvre une intelligence artificielle pour distinguer entre eux les signaux électroencéphalogrammes (Su(EEG)) obtenus, par apprentissage à partir d'observations de différences entre les signaux de résonnance magnétique (Su(IRM)) obtenus en réaction aux mêmes signaux respectifs de stimulus (ST1, ST2, ST3, ST4), et - utiliser ladite intelligence artificielle pour identifier un signal de stimulus courant à partir d'un signal électroencéphalogramme courant, obtenu en réaction à l'émission dudit signal de stimulus courant.