Universiti Teknologi Malaysia Institutional Repository

EEG patterns for driving wireless control robot

Azmy, H. and Mat Safri, Norlaili and Che Harun, Fauzan Khairi and Othman, Mohd. Afzan (2011) EEG patterns for driving wireless control robot. In: 5th Kuala Lumpur International Conference on Biomedical Engineering 2011: (BIOMED 2011) 20-23 June 2011, Kuala Lumpur, Malaysia. IFMBE Proceedings . Springer Berlin Heidelberg, Germany, pp. 507-510. ISBN 978-364221728-9

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Official URL: https://link.springer.com/chapter/10.1007%2F978-3-...


Electroencephalogram (EEG) study has significant use for disable people since many people with severe motor disabilities require alternative method for communication and control. Normally this people have normal brain function that can be used to control assistive devices. Therefore this study presents preliminary results of EEG pattern for driving wireless control robot. The objective was to obtain optimum scalp location. For each task, EEG signals were recorded from 19 scalp location. Four recorded tasks were investigated and divided into Task1, Task2, Task3 and Control. All tasks were preceded by Control task. Fast Fourier Transform (FFT) was used to analyze the recorded signals. The difference in power between task and control was analyzed. Results showed that P z and P 4 are the best location for Task1, T 4 and P 3 for Task2 and Task3 respectively. All these occurred in delta frequency band.

Item Type:Book Section
Uncontrolled Keywords:brain-computer interface (BCI), electroencephalogram (EEG), fast fourier transform (FFT)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:28995
Deposited By: Liza Porijo
Deposited On:07 Dec 2012 02:58
Last Modified:13 Jun 2017 04:00

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