Brain computer interface : assessment of spinal cord injury patient towards motor movement through EEG application

Syam, Syahrull Hi Fi and Lakany, Heba and Ahmad, R. B. and Conway, Bernard A. (2017) Brain computer interface : assessment of spinal cord injury patient towards motor movement through EEG application. MATEC Web of Conferences, 140. 01027. ISSN 2261-236X (https://doi.org/10.1051/matecconf/201714001027)

[thumbnail of Syam-etal-MATECWC-2017-Brain-computer-interface-assessment-of-spinal-cord-injury]
Preview
Text. Filename: Syam_etal_MATECWC_2017_Brain_computer_interface_assessment_of_spinal_cord_injury.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (197kB)| Preview

Abstract

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.

ORCID iDs

Syam, Syahrull Hi Fi, Lakany, Heba ORCID logoORCID: https://orcid.org/0000-0003-3079-0392, Ahmad, R. B. and Conway, Bernard A. ORCID logoORCID: https://orcid.org/0000-0002-0069-0131;