Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application

Electroencephalography (EEG) associated with motor task have been comprehensively investigated and it can also describe the brain activities while spinal cord injury (SCI) patient with para/tetraplegia performing movement with their limbs. This paper reviews on conducted research regarding applicati...

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Main Authors: Badlishah, Ahmad, Syam, S.H.F, Lakany, H, Conway, B.A
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access:http://eprints.unisza.edu.my/1193/1/FH03-FIK-18-12290.jpg
http://eprints.unisza.edu.my/1193/
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spelling my-unisza-ir.11932020-11-10T03:55:32Z http://eprints.unisza.edu.my/1193/ Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application Badlishah, Ahmad Syam, S.H.F Lakany, H Conway, B.A QA75 Electronic computers. Computer science QA76 Computer software Electroencephalography (EEG) associated with motor task have been comprehensively investigated and it can also describe the brain activities while spinal cord injury (SCI) patient with para/tetraplegia performing movement with their limbs. This paper reviews on conducted research regarding application of brain computer interface (BCI) that offer alternative for neural impairments community such as spinal cord injury patient (SCI) which include the experimental design, signal analysis of EEG band signal and data processing methods. The findings claim that the EEG signals of SCI patients associated with movement tasks can be stimulated through mental and motor task. Other than that EEG signal component such as alpha and beta frequency bands indicate significance for analysing the brain activity of subjects with SCI during movements. 2017 Conference or Workshop Item NonPeerReviewed image en http://eprints.unisza.edu.my/1193/1/FH03-FIK-18-12290.jpg Badlishah, Ahmad and Syam, S.H.F and Lakany, H and Conway, B.A (2017) Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application. In: 1st International Conference on Emerging Electronic Solutions for IoT, ICEESI 2017, 9 October 2017, Penang, Malaysia.
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Badlishah, Ahmad
Syam, S.H.F
Lakany, H
Conway, B.A
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
description Electroencephalography (EEG) associated with motor task have been comprehensively investigated and it can also describe the brain activities while spinal cord injury (SCI) patient with para/tetraplegia performing movement with their limbs. This paper reviews on conducted research regarding application of brain computer interface (BCI) that offer alternative for neural impairments community such as spinal cord injury patient (SCI) which include the experimental design, signal analysis of EEG band signal and data processing methods. The findings claim that the EEG signals of SCI patients associated with movement tasks can be stimulated through mental and motor task. Other than that EEG signal component such as alpha and beta frequency bands indicate significance for analysing the brain activity of subjects with SCI during movements.
format Conference or Workshop Item
author Badlishah, Ahmad
Syam, S.H.F
Lakany, H
Conway, B.A
author_facet Badlishah, Ahmad
Syam, S.H.F
Lakany, H
Conway, B.A
author_sort Badlishah, Ahmad
title Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
title_short Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
title_full Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
title_fullStr Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
title_full_unstemmed Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
title_sort brain computer interface: assessment of spinal cord injury patient towards motor movement through eeg application
publishDate 2017
url http://eprints.unisza.edu.my/1193/1/FH03-FIK-18-12290.jpg
http://eprints.unisza.edu.my/1193/
_version_ 1683234986646306816
score 13.160551