Graphical user interface controlled via brainwave signals for paraplegic rehabilitation

K. A.A. Rahman; B. S.K.K. Ibrahim; M. S. Huq; N. H.M. Nasir; M. K.I. Ahmad; F. Sherwani

Graphical user interface controlled via brainwave signals for paraplegic rehabilitation

K. A.A. Rahman, B. S.K.K. Ibrahim, M. S. Huq, N. H.M. Nasir, M. K.I. Ahmad, F. Sherwani

Universiti Tun Hussein Onn Malaysia

Research output: Contribution to journal › Article › peer-review

Abstract

This article presents a practical method for recorded raw brainwave signals in three different ways. The motivation for this experiment is to get the right and persistent raw brainwave signal for the future development of GUI controlled via brainwave signals. This step was very basic but very important step in that development. Motivation behind the work also include gaining the ability to examine the behavior of raw brainwave signals. To archive the objectives, the raw brainwave signals is recorded via two different platforms of GUI; MATLAB and NeuroSky Application. NeuroSky Mindwave Mobile device is used to capture the brain signals. The raw brain wave signals taken via MATLAB are found to be similar/ verified with other brainwave signals taken via others platform.

Original language	English
Pages (from-to)	9790-9794
Number of pages	5
Journal	ARPN Journal of Engineering and Applied Sciences
Volume	10
Issue number	20
Publication status	Published - 10 Nov 2015
Externally published	Yes

Keywords

Functional electrical stimulation
Rehabilitation
Spinal cord injury

ASJC Scopus subject areas

General Engineering

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http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1115_2940.pdf

Cite this

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title = "Graphical user interface controlled via brainwave signals for paraplegic rehabilitation",

abstract = "This article presents a practical method for recorded raw brainwave signals in three different ways. The motivation for this experiment is to get the right and persistent raw brainwave signal for the future development of GUI controlled via brainwave signals. This step was very basic but very important step in that development. Motivation behind the work also include gaining the ability to examine the behavior of raw brainwave signals. To archive the objectives, the raw brainwave signals is recorded via two different platforms of GUI; MATLAB and NeuroSky Application. NeuroSky Mindwave Mobile device is used to capture the brain signals. The raw brain wave signals taken via MATLAB are found to be similar/ verified with other brainwave signals taken via others platform.",

keywords = "Functional electrical stimulation, Rehabilitation, Spinal cord injury",

author = "Rahman, {K. A.A.} and Ibrahim, {B. S.K.K.} and Huq, {M. S.} and Nasir, {N. H.M.} and Ahmad, {M. K.I.} and F. Sherwani",

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AU - Rahman, K. A.A.

AU - Ibrahim, B. S.K.K.

AU - Huq, M. S.

AU - Nasir, N. H.M.

AU - Ahmad, M. K.I.

AU - Sherwani, F.

PY - 2015/11/10

Y1 - 2015/11/10

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AB - This article presents a practical method for recorded raw brainwave signals in three different ways. The motivation for this experiment is to get the right and persistent raw brainwave signal for the future development of GUI controlled via brainwave signals. This step was very basic but very important step in that development. Motivation behind the work also include gaining the ability to examine the behavior of raw brainwave signals. To archive the objectives, the raw brainwave signals is recorded via two different platforms of GUI; MATLAB and NeuroSky Application. NeuroSky Mindwave Mobile device is used to capture the brain signals. The raw brain wave signals taken via MATLAB are found to be similar/ verified with other brainwave signals taken via others platform.

KW - Functional electrical stimulation

KW - Rehabilitation

KW - Spinal cord injury

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Graphical user interface controlled via brainwave signals for paraplegic rehabilitation

Abstract

Keywords

ASJC Scopus subject areas

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