EEG patterns for driving wireless control robot
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 prese...
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Springer Berlin Heidelberg
2011
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| Online Access: | http://eprints.utm.my/id/eprint/28995/ https://link.springer.com/chapter/10.1007%2F978-3-642-21729-6_128 |
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my.utm.289952017-06-13T04:00:08Z http://eprints.utm.my/id/eprint/28995/ EEG patterns for driving wireless control robot Azmy, H. Mat Safri, Norlaili Che Harun, Fauzan Khairi Othman, Mohd. Afzan TK Electrical engineering. Electronics Nuclear engineering 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. Springer Berlin Heidelberg Abu Osman, Noor Azuan Wan Abas, Wan Abu Bakar Abdul Wahab, Ahmad Khairi Hua, Nong Ting 2011 Book Section PeerReviewed 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 https://link.springer.com/chapter/10.1007%2F978-3-642-21729-6_128 10.1007/978-3-642-21729-6_128 |
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TK Electrical engineering. Electronics Nuclear engineering Azmy, H. Mat Safri, Norlaili Che Harun, Fauzan Khairi Othman, Mohd. Afzan EEG patterns for driving wireless control robot |
| description |
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. |
| author2 |
Abu Osman, Noor Azuan |
| author_facet |
Abu Osman, Noor Azuan Azmy, H. Mat Safri, Norlaili Che Harun, Fauzan Khairi Othman, Mohd. Afzan |
| format |
Book Section |
| author |
Azmy, H. Mat Safri, Norlaili Che Harun, Fauzan Khairi Othman, Mohd. Afzan |
| author_sort |
Azmy, H. |
| title |
EEG patterns for driving wireless control robot |
| title_short |
EEG patterns for driving wireless control robot |
| title_full |
EEG patterns for driving wireless control robot |
| title_fullStr |
EEG patterns for driving wireless control robot |
| title_full_unstemmed |
EEG patterns for driving wireless control robot |
| title_sort |
eeg patterns for driving wireless control robot |
| publisher |
Springer Berlin Heidelberg |
| publishDate |
2011 |
| url |
http://eprints.utm.my/id/eprint/28995/ https://link.springer.com/chapter/10.1007%2F978-3-642-21729-6_128 |
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