Intelligent Classification Technique of Hand Motor Imagery Using EEG Beta Rebound Follow-Up Pattern

Intelligent Classification Technique of Hand Motor Imagery Using EEG Beta Rebound Follow-Up Pattern

To apply EEG-based brain-machine interfaces during rehabilitation, separating various tasks during motor imagery (MI) and assimilating MI into motor execution (ME) are needed. Previous studies were focusing on classifying different MI tasks based on complex algorithms. In this paper, we implement in...

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Detalles Bibliográficos
Main Authors: Jiachen Wang, Yun-Hsuan Chen, Jie Yang, Mohamad Sawan
Formato: Artigo
Idioma:English
Publicado: MDPI AG 2022-06-01
Series:Biosensors
Subjects:
wearable electroencephalography
motor imagery
motor execution
beta rebound
brain–machine interface
feature extraction
Acceso en liña:https://www.mdpi.com/2079-6374/12/6/384

Internet

https://www.mdpi.com/2079-6374/12/6/384

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