A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
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Date
2021-03-20
Open Access Location
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI (Basel, Switzerland)
Rights
(c) 2021 The Author/s
CC BY
CC BY
Abstract
Motor imagery (MI) based brain-computer interface (BCI) aims to provide a means of communication through the utilization of neural activity generated due to kinesthetic imagination of limbs. Every year, a significant number of publications that are related to new improvements, challenges, and breakthrough in MI-BCI are made. This paper provides a comprehensive review of the electroencephalogram (EEG) based MI-BCI system. It describes the current state of the art in different stages of the MI-BCI (data acquisition, MI training, preprocessing, feature extraction, channel and feature selection, and classification) pipeline. Although MI-BCI research has been going for many years, this technology is mostly confined to controlled lab environments. We discuss recent developments and critical algorithmic issues in MI-based BCI for commercial deployment.
Description
Keywords
BCI calibration, BCI illiteracy, BCI training, adaptive BCI, asynchronous BCI, brain–computer interface (BCI), electroencephalography (EEG), motor imagery, online BCI, Brain-Computer Interfaces, Electroencephalography, Imagination
Citation
Singh A, Hussain AA, Lal S, Guesgen HW. (2021). A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface.. Sensors (Basel). 21. 6. (pp. 1-35).