| Issue |
MATEC Web Conf.
Volume 140, 2017
2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017)
|
|
|---|---|---|
| Article Number | 01027 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/matecconf/201714001027 | |
| Published online | 11 December 2017 | |
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
1
Polytechnic of Tuanku Syed Sirajuddin, 02600, Perlis, Malaysia
2
Biomedical Engineering, University of Strathclyde G4 0NW, Glasgow, United Kingdom.
3
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Kuala Terengganu, Malaysia
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.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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