Target selection using single electroencephalogram electrode based on mental task

Electroencephalogram (EEG)-based BCI studies have been done since early 21st century. The main focus is to improve in areas of neuroscience. It has lead to the use of electrical activity on brain into controlling devices such as wheelchair, cursor movement on computer screen, etc. The purpose of thi...

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Main Author:	Azmy, Husnaini
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/50699/25/HusnainiAzmyMFKE2014.pdf
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spelling	my-utm-ep.506992020-07-08T08:54:01Z Target selection using single electroencephalogram electrode based on mental task 2014-03 Azmy, Husnaini TK Electrical engineering. Electronics Nuclear engineering Electroencephalogram (EEG)-based BCI studies have been done since early 21st century. The main focus is to improve in areas of neuroscience. It has lead to the use of electrical activity on brain into controlling devices such as wheelchair, cursor movement on computer screen, etc. The purpose of this study is to detect the brain activation on scalp by EEG task-based Brain Computer Interface (BCI) using wireless control robotto determine one scalp location which will give signals that can be used to control the wireless robot without subject training. EEG was measured in 8 normal subjects for control and two tasks conditions. In control condition, subjects were asked to relax but in Task 1 condition, subjects were asked to imagine a star rotating clockwise at position of 45 degree direction pointed by the wireless robot where at this angle the target is located. Same conditions applied for Task 2 but subjects were asked to solve multiplication number 13 without saying or moving, just solve in their mind. At position 0 and 90 degrees angle for both tasks, subjects were asked to relax since there is no target on these directions. Using EEG spectral power (analysis I) and normalization (analysis II), the optimum location for these two tasks were detected and compared. For Task 1, the significant brain activation occurred at position F8, which is atthe frontal cortex area and the significant rhythm was alpha frequency band with P < 0.001 and F(10,70)= 5.31. However, Task 2 which is mental task of solving multiplication number did not give significant results as Task 1(P > 0.05).In conclusion, it is possible to direct wireless robot towards direction of target location using an imaginary star rotation movement without prior training given to subject and with only single electrode. 2014-03 Thesis http://eprints.utm.my/id/eprint/50699/ http://eprints.utm.my/id/eprint/50699/25/HusnainiAzmyMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85218 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Azmy, Husnaini Target selection using single electroencephalogram electrode based on mental task
description	Electroencephalogram (EEG)-based BCI studies have been done since early 21st century. The main focus is to improve in areas of neuroscience. It has lead to the use of electrical activity on brain into controlling devices such as wheelchair, cursor movement on computer screen, etc. The purpose of this study is to detect the brain activation on scalp by EEG task-based Brain Computer Interface (BCI) using wireless control robotto determine one scalp location which will give signals that can be used to control the wireless robot without subject training. EEG was measured in 8 normal subjects for control and two tasks conditions. In control condition, subjects were asked to relax but in Task 1 condition, subjects were asked to imagine a star rotating clockwise at position of 45 degree direction pointed by the wireless robot where at this angle the target is located. Same conditions applied for Task 2 but subjects were asked to solve multiplication number 13 without saying or moving, just solve in their mind. At position 0 and 90 degrees angle for both tasks, subjects were asked to relax since there is no target on these directions. Using EEG spectral power (analysis I) and normalization (analysis II), the optimum location for these two tasks were detected and compared. For Task 1, the significant brain activation occurred at position F8, which is atthe frontal cortex area and the significant rhythm was alpha frequency band with P < 0.001 and F(10,70)= 5.31. However, Task 2 which is mental task of solving multiplication number did not give significant results as Task 1(P > 0.05).In conclusion, it is possible to direct wireless robot towards direction of target location using an imaginary star rotation movement without prior training given to subject and with only single electrode.
format	Thesis
qualification_level	Master's degree
author	Azmy, Husnaini
author_facet	Azmy, Husnaini
author_sort	Azmy, Husnaini
title	Target selection using single electroencephalogram electrode based on mental task
title_short	Target selection using single electroencephalogram electrode based on mental task
title_full	Target selection using single electroencephalogram electrode based on mental task
title_fullStr	Target selection using single electroencephalogram electrode based on mental task
title_full_unstemmed	Target selection using single electroencephalogram electrode based on mental task
title_sort	target selection using single electroencephalogram electrode based on mental task
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/50699/25/HusnainiAzmyMFKE2014.pdf
_version_	1747817514871554048

Target selection using single electroencephalogram electrode based on mental task

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