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Brain machine interface: A comparison between fuzzy and neural classifiers

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Main Authors: Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom
Other Authors: hema@unimap.edu.my
Format: Article
Language:English
Published: ICIC International 2009
Subjects:
Brain machine interfaces
EEG signal processing
Fuzzy classifier
Mental tasks
Neurodegenerative
Biomedical engineering
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7376
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spelling 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
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Brain machine interfaces
EEG signal processing
Fuzzy classifier
Mental tasks
EEG signal processing
Neurodegenerative
Biomedical engineering
spellingShingle 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
description 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
score 13.222552

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