Electrocorticography based motor imagery movements classification using long short-term memory (LSTM) based on deep learning approach

Electrocorticography based motor imagery movements classification using long short-term memory (LSTM) based on deep learning approach

Brain–computer interface (BCI) is an important alternative for disabled people that enables the innovative communication pathway among individual thoughts and different assistive appliances. In order to make an efficient BCI system, different physiological signals from the brain have been utilized f...

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Bibliographic Details
Main Authors: Rashid, Mamunur, Islam, Minarul, Norizam, Sulaiman, Bari, Bifta Sama, Saha, Ripon Kumar, Hasan, Md Jahid
Format: Article
Language:English
Published: Springer Nature 2020
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/27512/
http://umpir.ump.edu.my/id/eprint/27512/
http://umpir.ump.edu.my/id/eprint/27512/
http://umpir.ump.edu.my/id/eprint/27512/1/Electrocorticography%20based%20motor%20imagery1.pdf

Internet

http://umpir.ump.edu.my/id/eprint/27512/
http://umpir.ump.edu.my/id/eprint/27512/
http://umpir.ump.edu.my/id/eprint/27512/
http://umpir.ump.edu.my/id/eprint/27512/1/Electrocorticography%20based%20motor%20imagery1.pdf

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