Deep Learning-Based Classification of Fine Hand Movements from Low Frequency EEG

Deep Learning-Based Classification of Fine Hand Movements from Low Frequency EEG

The classification of different fine hand movements from electroencephalogram (EEG) signals represents a relevant research challenge, e.g., in BCI applications for motor rehabilitation. Here, we analyzed two different datasets where fine hand movements (touch, grasp, palmar, and lateral grasp) were...

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Bibliographic Details
Main Authors: Giulia Bressan, Giulia Cisotto, Gernot R. Müller-Putz, Selina Christin Wriessnegger
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Future Internet
Subjects:
EEG
MRCP
CNN
RF
LDA
BCI
Online Access:https://www.mdpi.com/1999-5903/13/5/103

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