Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application

Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application

Brain-Computer Interface (BCI) systems have obtained remarkable results in rehabilitation and robot control processes by converting brain signals into control commands. The quantity of movement speed is the fundamental issue in BCI that requires additional research. This paper investigated the class...

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Bibliographic Details
Main Authors: Sepideh Zolfaghari, Tohid Yousefi Rezaii, Saeed Meshgini, Ali Farzamnia, Liau Chung Fan
Format: Article
Language:English
English
Published: IEEE 2021
Subjects:
R858-859.7 Computer applications to medicine. Medical informatics
TA1-2040 Engineering (General). Civil engineering (General)
Online Access:https://eprints.ums.edu.my/id/eprint/32771/1/Speed%20Classification%20of%20Upper%20Limb%20Movements%20Through%20EEG%20Signal%20for%20BCI%20Application.pdf
https://eprints.ums.edu.my/id/eprint/32771/2/Speed%20Classification%20of%20Upper%20Limb%20Movements%20Through%20EEG%20Signal%20for%20BCI%20Application1.pdf

Internet

https://eprints.ums.edu.my/id/eprint/32771/1/Speed%20Classification%20of%20Upper%20Limb%20Movements%20Through%20EEG%20Signal%20for%20BCI%20Application.pdf
https://eprints.ums.edu.my/id/eprint/32771/2/Speed%20Classification%20of%20Upper%20Limb%20Movements%20Through%20EEG%20Signal%20for%20BCI%20Application1.pdf

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