Open Access
Article
Implementation of a Four-Class Motor Imagery Brain Computer Interface Using Long Short-Term Memory Neural Network
by Hao-Teng Hsu*, Kuo-Kai Shyu and Po-Lei Lee
IJCMB 2022, Vol 2, Issue 1, 27-32, https://doi.org/10.35745/ijcmb2022v02.01.0005 - Published on March 30, 2022
Abstract
We have developed multi-channel dry-electrode electroencephalography (EEG) system to implement a brain computer interface (BCI) and discriminate four-class motor imagery signals. The EEG channels recorded from Fz, F3, F4, C3, Cz, C4, P3, and P4 positions, according to the international 10‒20 EEG system, were acquired and wirelessly transmitted to a personal computer. Five subjects were recruited to perform right hand, left hand, right foot, and left foot imagery movements with 60 trials in each ...