EEG signal analysis and characterization for the aid of disabled people
The effectiveness of assistive devices for disabled people is often limited by the human machine interface. This research proposes an intelligent wheelchair system especially for severely disabled people based on analysing electroencephalographic signals by using discrete wavelet transform and hi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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WIT Press
2007
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/29542/ http://irep.iium.edu.my/29542/1/EEG_signal_analysis_and_characterization_for.pdf |
| _version_ | 1848780143414214656 |
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| author | Reaz, Mamun Bin Ibne Chowdhury, Md. Sazzad Hossien Ibrahimy, Muhammad Ibn Mohd-Yasin, Faisal |
| author_facet | Reaz, Mamun Bin Ibne Chowdhury, Md. Sazzad Hossien Ibrahimy, Muhammad Ibn Mohd-Yasin, Faisal |
| author_sort | Reaz, Mamun Bin Ibne |
| building | IIUM Repository |
| collection | Online Access |
| description | The effectiveness of assistive devices for disabled people is often limited by the
human machine interface. This research proposes an intelligent wheelchair
system especially for severely disabled people based on analysing
electroencephalographic signals by using discrete wavelet transform and higher
order statistical methods. The system to be implemented in Field Programmable
Gate Array enables an accurate and efficient system of processing signals to
control the wheelchair, which makes an attractive option in the hardware
realization. |
| first_indexed | 2025-11-14T15:28:59Z |
| format | Article |
| id | iium-29542 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:28:59Z |
| publishDate | 2007 |
| publisher | WIT Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-295422013-03-28T02:39:13Z http://irep.iium.edu.my/29542/ EEG signal analysis and characterization for the aid of disabled people Reaz, Mamun Bin Ibne Chowdhury, Md. Sazzad Hossien Ibrahimy, Muhammad Ibn Mohd-Yasin, Faisal T Technology (General) The effectiveness of assistive devices for disabled people is often limited by the human machine interface. This research proposes an intelligent wheelchair system especially for severely disabled people based on analysing electroencephalographic signals by using discrete wavelet transform and higher order statistical methods. The system to be implemented in Field Programmable Gate Array enables an accurate and efficient system of processing signals to control the wheelchair, which makes an attractive option in the hardware realization. WIT Press 2007 Article PeerReviewed application/pdf en http://irep.iium.edu.my/29542/1/EEG_signal_analysis_and_characterization_for.pdf Reaz, Mamun Bin Ibne and Chowdhury, Md. Sazzad Hossien and Ibrahimy, Muhammad Ibn and Mohd-Yasin, Faisal (2007) EEG signal analysis and characterization for the aid of disabled people. WIT Transactions on Biomedicine and Health, 12. pp. 287-294. ISSN 1743-3525 http://www.witpress.com doi:10.2495/BIO070271 |
| spellingShingle | T Technology (General) Reaz, Mamun Bin Ibne Chowdhury, Md. Sazzad Hossien Ibrahimy, Muhammad Ibn Mohd-Yasin, Faisal EEG signal analysis and characterization for the aid of disabled people |
| title | EEG signal analysis and characterization for the aid of disabled people |
| title_full | EEG signal analysis and characterization for the aid of disabled people |
| title_fullStr | EEG signal analysis and characterization for the aid of disabled people |
| title_full_unstemmed | EEG signal analysis and characterization for the aid of disabled people |
| title_short | EEG signal analysis and characterization for the aid of disabled people |
| title_sort | eeg signal analysis and characterization for the aid of disabled people |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/29542/ http://irep.iium.edu.my/29542/ http://irep.iium.edu.my/29542/ http://irep.iium.edu.my/29542/1/EEG_signal_analysis_and_characterization_for.pdf |