Online detection of movement during natural and self-initiated reach-and-grasp actions from EEG signals.

brain–computer interface electroencephalography low-frequency time-domain movement detection movement-related cortical potentials reach-and-grasp

Journal

Journal of neural engineering
ISSN: 1741-2552
Titre abrégé: J Neural Eng
Pays: England
ID NLM: 101217933

Informations de publication

Date de publication:
02 07 2021
Historique:
received: 15 01 2021
accepted: 15 06 2021
pubmed: 16 6 2021
medline: 4 8 2021
entrez: 15 6 2021
Statut: epublish

Résumé

Movement intention detection using electroencephalography (EEG) is a challenging but essential component of brain-computer interfaces (BCIs) for people with motor disabilities.

Identifiants

pubmed: 34130267
doi: 10.1088/1741-2552/ac0b52
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Joana Pereira (J)

Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Reinmar Kobler (R)

Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Patrick Ofner (P)

Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Andreas Schwarz (A)

Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

Gernot R Müller-Putz (GR)

Institute of Neural Engineering, Graz University of Technology, Graz, Austria.

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Classifications MeSH