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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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. |
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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 |
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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 |
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2017 |
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http://eprints.unisza.edu.my/1193/1/FH03-FIK-18-12290.jpg http://eprints.unisza.edu.my/1193/ |
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