| _version_ |
1860799645809115136
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2018-01-14 09:38:29
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| eventvenue |
Penang, Malaysia
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| format |
Restricted Document
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| id |
6825
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| institution |
UniSZA
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| originalfilename |
1193-01-FH03-FIK-18-12290.jpg
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| person |
norman
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6825
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| spelling |
6825 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6825 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper image/jpeg inches 96 96 norman 72 72 1439 2018-01-14 09:38:29 760 1439x760 1193-01-FH03-FIK-18-12290.jpg UniSZA Private Access 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 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. 1st International Conference on Emerging Electronic Solutions for IoT, ICEESI 2017 Penang, Malaysia
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| spellingShingle |
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
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| summary |
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.
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| title |
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
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| title_full |
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
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| title_fullStr |
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
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| title_full_unstemmed |
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
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| title_short |
Brain Computer Interface: Assessment of Spinal Cord Injury Patient towards Motor Movement through EEG application
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| title_sort |
brain computer interface: assessment of spinal cord injury patient towards motor movement through eeg application
|