Emerging trends in BCI-robotics for motor control and rehabilitation

Neuroengineering research over the last two decades has demonstrated promising evidence on the use of brain-computer interface (BCI) to enhance functional recovery and independence in individuals with motor impairments. By translating brain activity, BCI bypasses the impaired neuromotor system, to c...

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Main Authors: Robinson, Neethu, Mane, Ravikiran, Chouhan, Tushar, Guan, Cuntai
Other Authors: College of Computing and Data Science
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/179041
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1790412024-07-18T00:04:58Z Emerging trends in BCI-robotics for motor control and rehabilitation Robinson, Neethu Mane, Ravikiran Chouhan, Tushar Guan, Cuntai College of Computing and Data Science School of Computer Science and Engineering Centre for Brain Computing Research Engineering Brain computer interface Robotics Stroke rehabilitation Neuromotor control Neuroengineering research over the last two decades has demonstrated promising evidence on the use of brain-computer interface (BCI) to enhance functional recovery and independence in individuals with motor impairments. By translating brain activity, BCI bypasses the impaired neuromotor system, to control computers/machines. BCI-controlled robots are designed for motor assistance to aid paralyzed patients as well as for rehabilitation to enhance motor recovery. In this article, we review the advances in BCI and brain controlled robotics for rehabilitation and assistance of upper and lower limb motor functions over the last five years. The article emphasizes on the emerging trends in BCI-controlled robotics to expand its intervention capabilities as well as to resolve existing challenges hindering its widespread clinical use. Agency for Science, Technology and Research (A*STAR) Submitted/Accepted version This work was partially supported by the RIE2020 AME Programmatic Fund, Singapore (No. A20G8b0102) 2024-07-18T00:04:58Z 2024-07-18T00:04:58Z 2021 Journal Article Robinson, N., Mane, R., Chouhan, T. & Guan, C. (2021). Emerging trends in BCI-robotics for motor control and rehabilitation. Current Opinion in Biomedical Engineering, 20, 100354-. https://dx.doi.org/10.1016/j.cobme.2021.100354 2468-4511 https://hdl.handle.net/10356/179041 10.1016/j.cobme.2021.100354 2-s2.0-85118655662 20 100354 en A20G8b0102 Current Opinion in Biomedical Engineering © 2021 Elsevier Inc. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1016/j.cobme.2021.100354. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Brain computer interface
Robotics
Stroke rehabilitation
Neuromotor control
spellingShingle Engineering
Brain computer interface
Robotics
Stroke rehabilitation
Neuromotor control
Robinson, Neethu
Mane, Ravikiran
Chouhan, Tushar
Guan, Cuntai
Emerging trends in BCI-robotics for motor control and rehabilitation
description Neuroengineering research over the last two decades has demonstrated promising evidence on the use of brain-computer interface (BCI) to enhance functional recovery and independence in individuals with motor impairments. By translating brain activity, BCI bypasses the impaired neuromotor system, to control computers/machines. BCI-controlled robots are designed for motor assistance to aid paralyzed patients as well as for rehabilitation to enhance motor recovery. In this article, we review the advances in BCI and brain controlled robotics for rehabilitation and assistance of upper and lower limb motor functions over the last five years. The article emphasizes on the emerging trends in BCI-controlled robotics to expand its intervention capabilities as well as to resolve existing challenges hindering its widespread clinical use.
author2 College of Computing and Data Science
author_facet College of Computing and Data Science
Robinson, Neethu
Mane, Ravikiran
Chouhan, Tushar
Guan, Cuntai
format Article
author Robinson, Neethu
Mane, Ravikiran
Chouhan, Tushar
Guan, Cuntai
author_sort Robinson, Neethu
title Emerging trends in BCI-robotics for motor control and rehabilitation
title_short Emerging trends in BCI-robotics for motor control and rehabilitation
title_full Emerging trends in BCI-robotics for motor control and rehabilitation
title_fullStr Emerging trends in BCI-robotics for motor control and rehabilitation
title_full_unstemmed Emerging trends in BCI-robotics for motor control and rehabilitation
title_sort emerging trends in bci-robotics for motor control and rehabilitation
publishDate 2024
url https://hdl.handle.net/10356/179041
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