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Fuzzy based classification of EEG mental tasks for a brain machine interface

Institute of Electrical and Electronics Engineers (IEEE)

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Main Authors: Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2009
Subjects:
Electroencephalography
Cognition
Signal classification
User interfaces
Brain machine interfaces
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6834
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spelling my.unimap-68342010-11-23T06:42:11Z Fuzzy based classification of EEG mental tasks for a brain machine interface Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Ramachandran, Nagarajan Sazali, Yaacob Abdul Hamid, Adom Electroencephalography Cognition Signal classification User interfaces Brain machine interfaces Institute of Electrical and Electronics Engineers (IEEE) Patients with neurodegenerative diseases loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is using a brain machine interfaces (BMI) which uses their active cognition capabilities to control external devices and their 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. In this paper five different mental tasks from five subjects were studied, for classification combinations of two tasks are studied for each subject. A fuzzy based classification method is proposed for classification of the EEG mental task signals. Power of the spectral band frequencies of the EEG are used as features for training and testing the fuzzy classifier. Classification accuracies ranged from 65% to 100% for different combinations of mental tasks. The results validate the performance of the proposed algorithm for mental task classification. 2009-08-11T08:40:00Z 2009-08-11T08:40:00Z 2007-11-28 Article p.53-56 978-0-7695-2994-1 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=4457491 http://hdl.handle.net/123456789/6834 en Proceedings of 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2007) Institute of Electrical and Electronics Engineers (IEEE)
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 Electroencephalography
Cognition
Signal classification
User interfaces
Brain machine interfaces
spellingShingle Electroencephalography
Cognition
Signal classification
User interfaces
Brain machine interfaces
Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Ramachandran, Nagarajan
Sazali, Yaacob
Abdul Hamid, Adom
Fuzzy based classification of EEG mental tasks for a brain machine interface
description Institute of Electrical and Electronics Engineers (IEEE)
format Article
author Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Ramachandran, Nagarajan
Sazali, Yaacob
Abdul Hamid, Adom
author_facet Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Ramachandran, Nagarajan
Sazali, Yaacob
Abdul Hamid, Adom
author_sort Hema, Chengalvarayan Radhakrishnamurthy
title Fuzzy based classification of EEG mental tasks for a brain machine interface
title_short Fuzzy based classification of EEG mental tasks for a brain machine interface
title_full Fuzzy based classification of EEG mental tasks for a brain machine interface
title_fullStr Fuzzy based classification of EEG mental tasks for a brain machine interface
title_full_unstemmed Fuzzy based classification of EEG mental tasks for a brain machine interface
title_sort fuzzy based classification of eeg mental tasks for a brain machine interface
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6834
_version_ 1643788609086554112
score 13.214268

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