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Towards the development of a electroencephalography based neuroprosthetic terminal device
Khairunnisa Johar1, Cheng, Yee Low2, Ahmed Jaffar3, Farhana Idris4, Mohamad Amlie Abu Kasim5, Fazah Akhtar Hanapiah6.
Brain-Computer Interface (BCI) using Electroencephalography (EEG) enables noninvasive
direct control between human brain and machine and opens up new
possibilities in providing healthcare solutions for people with severe motor impairment.
This paper reviews the recent trends in neuroprostheses and presents a conceptual
design for the development of a cost-effective neuroprosthetic hand deploying EEG
signals. Towards the development of a brain-computer interface for neuroprostheses,
EEG signals are recorded from healthy subjects using the Emotiv Suite Software. The
recognition phase and signal analysis are performed using the EEGLab Software.
Signal processing is required until clear rhythmic waves are obtained as a command
to control a prosthetic hand. A Graphical User Interface (GUI) will be developed using
Matlab Software and aided with 3D Animation as a medium of interaction for basic
training for the patient before using the prosthetic hand.
Affiliation:
- Universiti Teknologi MARA, Malaysia
- Universiti Teknologi MARA, Malaysia
- Universiti Teknologi MARA, Malaysia
- Universiti Teknologi MARA, Malaysia
- Universiti Teknologi MARA, Malaysia
- Universiti Teknologi MARA, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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