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...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/179041 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-179041 |
---|---|
record_format |
dspace |
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 |
_version_ |
1814047038403248128 |