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EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century
People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain–compu...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810272/ https://www.ncbi.nlm.nih.gov/pubmed/29472849 http://dx.doi.org/10.3389/fnhum.2018.00014 |
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author | Lazarou, Ioulietta Nikolopoulos, Spiros Petrantonakis, Panagiotis C. Kompatsiaris, Ioannis Tsolaki, Magda |
author_facet | Lazarou, Ioulietta Nikolopoulos, Spiros Petrantonakis, Panagiotis C. Kompatsiaris, Ioannis Tsolaki, Magda |
author_sort | Lazarou, Ioulietta |
collection | PubMed |
description | People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain–computer interfaces (BCIs) with the goals ranging from providing means of communication to functional rehabilitation. Here we review the research on non-invasive, electroencephalography (EEG)-based BCI systems for communication and rehabilitation. We focus on the approaches intended to help severely paralyzed and locked-in patients regain communication using three different BCI modalities: slow cortical potentials, sensorimotor rhythms and P300 potentials, as operational mechanisms. We also review BCI systems for restoration of motor function in patients with spinal cord injury and chronic stroke. We discuss the advantages and limitations of these approaches and the challenges that need to be addressed in the future. |
format | Online Article Text |
id | pubmed-5810272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58102722018-02-22 EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century Lazarou, Ioulietta Nikolopoulos, Spiros Petrantonakis, Panagiotis C. Kompatsiaris, Ioannis Tsolaki, Magda Front Hum Neurosci Neuroscience People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain–computer interfaces (BCIs) with the goals ranging from providing means of communication to functional rehabilitation. Here we review the research on non-invasive, electroencephalography (EEG)-based BCI systems for communication and rehabilitation. We focus on the approaches intended to help severely paralyzed and locked-in patients regain communication using three different BCI modalities: slow cortical potentials, sensorimotor rhythms and P300 potentials, as operational mechanisms. We also review BCI systems for restoration of motor function in patients with spinal cord injury and chronic stroke. We discuss the advantages and limitations of these approaches and the challenges that need to be addressed in the future. Frontiers Media S.A. 2018-01-31 /pmc/articles/PMC5810272/ /pubmed/29472849 http://dx.doi.org/10.3389/fnhum.2018.00014 Text en Copyright © 2018 Lazarou, Nikolopoulos, Petrantonakis, Kompatsiaris and Tsolaki. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Lazarou, Ioulietta Nikolopoulos, Spiros Petrantonakis, Panagiotis C. Kompatsiaris, Ioannis Tsolaki, Magda EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century |
title | EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century |
title_full | EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century |
title_fullStr | EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century |
title_full_unstemmed | EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century |
title_short | EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21(st) Century |
title_sort | eeg-based brain–computer interfaces for communication and rehabilitation of people with motor impairment: a novel approach of the 21(st) century |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810272/ https://www.ncbi.nlm.nih.gov/pubmed/29472849 http://dx.doi.org/10.3389/fnhum.2018.00014 |
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