Brain machine interface: A comparison between fuzzy and neural classifiers
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ICIC International
2009
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my.unimap-73762009-12-11T04:12:36Z Brain machine interface: A comparison between fuzzy and neural classifiers Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Ramachandran, Nagarajan Sazali, Yaacob Abdul Hamid, Adom hema@unimap.edu.my Brain machine interfaces EEG signal processing Fuzzy classifier Mental tasks EEG signal processing Neurodegenerative Biomedical engineering Link to publisher's homepage at http://www.ijicic.org/ Patients with neurodegenerative disease loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is through a brain machine interfaces (BMI) which uses their active cognition capabilities to control external devices and the environment. BMIs are designed using the electrical activity of the brain detected by scalp EEG electrodes. Classification of EEG signals extracted during mental tasks is a technique for designing a BMI. This paper compares the performances of two BMIs designed using neural and fuzzy classifiers. EEG signals collected from two subjects during five mental tasks are used to test the classifiers. Band power of the EEG signals is used as features for testing the classifiers. From the results it is observed that the neural classifiers outperformed the fuzzy classifiers marginally. The neural classifier showed an average classification efficiency of 86.15% for subject 1 and 84.09% for subject 2. On the other hand the fuzzy classifier showed an average classification efficiency of 84.5% for subject 1 and 83.0% for subject 2. 2009-12-09T01:23:58Z 2009-12-09T01:23:58Z 2009 Article International Journal of Innovative Computing, Information and Control, vol.5 (7), 2009, pages 1819-1827. 1349-4198 http://www.ijicic.org/contents.htm http://hdl.handle.net/123456789/7376 en ICIC International |
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| language |
English |
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Brain machine interfaces EEG signal processing Fuzzy classifier Mental tasks EEG signal processing Neurodegenerative Biomedical engineering |
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Brain machine interfaces EEG signal processing Fuzzy classifier Mental tasks EEG signal processing Neurodegenerative Biomedical engineering Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Ramachandran, Nagarajan Sazali, Yaacob Abdul Hamid, Adom Brain machine interface: A comparison between fuzzy and neural classifiers |
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Link to publisher's homepage at http://www.ijicic.org/ |
| author2 |
hema@unimap.edu.my |
| author_facet |
hema@unimap.edu.my Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Ramachandran, Nagarajan Sazali, Yaacob Abdul Hamid, Adom |
| format |
Article |
| author |
Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Ramachandran, Nagarajan Sazali, Yaacob Abdul Hamid, Adom |
| author_sort |
Hema, Chengalvarayan Radhakrishnamurthy |
| title |
Brain machine interface: A comparison between fuzzy and neural classifiers |
| title_short |
Brain machine interface: A comparison between fuzzy and neural classifiers |
| title_full |
Brain machine interface: A comparison between fuzzy and neural classifiers |
| title_fullStr |
Brain machine interface: A comparison between fuzzy and neural classifiers |
| title_full_unstemmed |
Brain machine interface: A comparison between fuzzy and neural classifiers |
| title_sort |
brain machine interface: a comparison between fuzzy and neural classifiers |
| publisher |
ICIC International |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/7376 |
| _version_ |
1643788798325161984 |