Article

Prediction of Motor Imagery Tasks from Multi-Channel EEG Data for Brain-Computer Interface Applications

2020-04-09

Abstract excerpt

The classification of m otor i magery e l e ctroencephalo g ram (MI-EEG) is a pivotal part of the biosignal classification in the b rain- c omputer i nterface (BCI) applications. Currently, this bio-engineering based technology is being employed by researchers in various fields to develop cutting edge applications. The classification of real-time MI-EEG signal is the core computing and challenging task in...

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Literature Corpus work: a2d542a6-4ed9-59f1-a6ba-ccf4a13dbba0
DOI: 10.1101/2020.04.08.032201

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