A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface

A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface

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 breakt...

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Bibliographic Details
Main Authors: Amardeep Singh, Ali Abdul Hussain, Sunil Lal, Hans W. Guesgen
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
motor imagery
brain–computer interface (BCI)
BCI illiteracy
adaptive BCI
online BCI
asynchronous BCI
Online Access:https://www.mdpi.com/1424-8220/21/6/2173
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spelling doaj-066142d251314ad6a0429dd8141bc6552021-03-21T00:00:25ZengMDPI AGSensors1424-82202021-03-01212173217310.3390/s21062173A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer InterfaceAmardeep Singh0Ali Abdul Hussain1Sunil Lal2Hans W. Guesgen3School of Fundamental Sciences, Massey University, 4410 Palmerston North, New ZealandSchool of Fundamental Sciences, Massey University, 4410 Palmerston North, New ZealandSchool of Fundamental Sciences, Massey University, 4410 Palmerston North, New ZealandSchool of Fundamental Sciences, Massey University, 4410 Palmerston North, New ZealandMotor 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.https://www.mdpi.com/1424-8220/21/6/2173motor imagerybrain–computer interface (BCI)BCI illiteracyadaptive BCIonline BCIasynchronous BCI
collection DOAJ
language English
format Article
sources DOAJ
author Amardeep Singh
Ali Abdul Hussain
Sunil Lal
Hans W. Guesgen
spellingShingle Amardeep Singh
Ali Abdul Hussain
Sunil Lal
Hans W. Guesgen
A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
Sensors
motor imagery
brain–computer interface (BCI)
BCI illiteracy
adaptive BCI
online BCI
asynchronous BCI
author_facet Amardeep Singh
Ali Abdul Hussain
Sunil Lal
Hans W. Guesgen
author_sort Amardeep Singh
title A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
title_short A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
title_full A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
title_fullStr A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
title_full_unstemmed A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
title_sort comprehensive review on critical issues and possible solutions of motor imagery based electroencephalography brain-computer interface
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-03-01
description 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.
topic motor imagery
brain–computer interface (BCI)
BCI illiteracy
adaptive BCI
online BCI
asynchronous BCI
url https://www.mdpi.com/1424-8220/21/6/2173
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