Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Singh, Amardeep, Hussain, Ali Abdul, Lal, Sunil, Guesgen, Hans W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003721/
https://www.ncbi.nlm.nih.gov/pubmed/33804611
http://dx.doi.org/10.3390/s21062173
_version_ 1783671756319358976
author Singh, Amardeep
Hussain, Ali Abdul
Lal, Sunil
Guesgen, Hans W.
author_facet Singh, Amardeep
Hussain, Ali Abdul
Lal, Sunil
Guesgen, Hans W.
author_sort Singh, Amardeep
collection PubMed
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.
format Online
Article
Text
id pubmed-8003721
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-80037212021-03-28 A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface Singh, Amardeep Hussain, Ali Abdul Lal, Sunil Guesgen, Hans W. Sensors (Basel) Review 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. MDPI 2021-03-20 /pmc/articles/PMC8003721/ /pubmed/33804611 http://dx.doi.org/10.3390/s21062173 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Singh, Amardeep
Hussain, Ali Abdul
Lal, Sunil
Guesgen, Hans W.
A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface
title 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_short 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
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003721/
https://www.ncbi.nlm.nih.gov/pubmed/33804611
http://dx.doi.org/10.3390/s21062173
work_keys_str_mv AT singhamardeep acomprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface
AT hussainaliabdul acomprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface
AT lalsunil acomprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface
AT guesgenhansw acomprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface
AT singhamardeep comprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface
AT hussainaliabdul comprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface
AT lalsunil comprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface
AT guesgenhansw comprehensivereviewoncriticalissuesandpossiblesolutionsofmotorimagerybasedelectroencephalographybraincomputerinterface