Trial Regeneration With Subband Signals for Motor Imagery Classification in BCI Paradigm

Trial Regeneration With Subband Signals for Motor Imagery Classification in BCI Paradigm

Electroencephalography (EEG) captures the electrical activities of human brain. It is an easy and cost effective tool to characterize motor imager (MI) task used in brain computer interface (BCI) implementation. The MI task is represented by short time trial of multichannel EEG. In this paper, the r...

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Bibliographic Details
Main Authors: Md. Khademul Islam Molla, Sanjoy Kumar Saha, Sabina Yasmin, Md. Rabiul Islam, Jungpil Shin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Brain computer interface (BCI)
discrete wavelet transformation
electroencephalography (EEG)
motor imagery
narrowband signals
subband decomposition
Online Access:https://ieeexplore.ieee.org/document/9314129/

Internet

https://ieeexplore.ieee.org/document/9314129/

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