Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

Motor imagery (MI)-based brain-computer interface (BCI) systems have shown promising advances for lower limb motor rehabilitation. The purpose of this study was to develop an MI-based BCI for the actions of standing and sitting. Thirty-two healthy subjects participated in the study using 17 active E...

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Bibliographic Details
Main Authors: Nayid Triana-Guzman, Alvaro D. Orjuela-Cañon, Andres L. Jutinico, Omar Mendoza-Montoya, Javier M. Antelis
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neuroinformatics
Subjects:
brain-computer interface (BCI)
electroencephalogram (EEG)
motor imagery (MI)
sit-stand
filter bank common spatial pattern (FBCSP)
regularized linear discriminant analysis (RLDA)
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.961089/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2022.961089/full

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