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Brain machine interface: motor imagery recognition with different signal length representations

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Main Authors: Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesapandian, Sazali, Yaacob, Abdul Hamid, Adom, Ramachandran, Nagarajan
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineering (IEEE) 2009
Subjects:
Brain-computer interfaces
Medical signal processing
Electroencephalography
Computational neuroscience
Brain Machine Interfaces (BMI)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7351
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spelling my.unimap-73512010-11-24T02:55:57Z Brain machine interface: motor imagery recognition with different signal length representations Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesapandian Sazali, Yaacob Abdul Hamid, Adom Ramachandran, Nagarajan Brain-computer interfaces Medical signal processing Electroencephalography Computational neuroscience Brain Machine Interfaces (BMI) Link to publisher's homepage at http://ieeexplore.ieee.org This work investigates how signal representations affect the performance of a motor imagery recognition system, specifically we investigate on recognition accuracy and computational time of a brain machine interface designed using motor imagery. Experiments show that the signal length should not be larger than a critical range for good recognition accuracy. The results presented here is a part of our work on the design and development of a brain machine interface to operate a wheelchair. EEG motor imagery signals recorded from the motor cortex area using non-invasive electrodes, are used for recognition of four tasks namely, left, right, forward and stop. Experiments are conducted for 12 signal representations from signal lengths varying from 3s to 0.25s. From the results it is observed that good recognition accuracies (93.2% -94.2%) are obtainable for 2s to 3s signal representations. 2009-11-19T13:51:56Z 2009-11-19T13:51:56Z 2009-03-06 Working Paper p.37-38 978-1-4244-4151-8 http://ieeexplore.ieee.org/xpls/abs_all.jsp?=&arnumber=5069183 http://hdl.handle.net/123456789/7351 en Proceedings of the 5th International Colloquium on Signal Processing & Its Applications (CSPA 2009) Institute of Electrical and Electronics Engineering (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 Brain-computer interfaces
Medical signal processing
Electroencephalography
Computational neuroscience
Brain Machine Interfaces (BMI)
spellingShingle Brain-computer interfaces
Medical signal processing
Electroencephalography
Computational neuroscience
Brain Machine Interfaces (BMI)
Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Sazali, Yaacob
Abdul Hamid, Adom
Ramachandran, Nagarajan
Brain machine interface: motor imagery recognition with different signal length representations
description Link to publisher's homepage at http://ieeexplore.ieee.org
format Working Paper
author Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Sazali, Yaacob
Abdul Hamid, Adom
Ramachandran, Nagarajan
author_facet Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesapandian
Sazali, Yaacob
Abdul Hamid, Adom
Ramachandran, Nagarajan
author_sort Hema, Chengalvarayan Radhakrishnamurthy
title Brain machine interface: motor imagery recognition with different signal length representations
title_short Brain machine interface: motor imagery recognition with different signal length representations
title_full Brain machine interface: motor imagery recognition with different signal length representations
title_fullStr Brain machine interface: motor imagery recognition with different signal length representations
title_full_unstemmed Brain machine interface: motor imagery recognition with different signal length representations
title_sort brain machine interface: motor imagery recognition with different signal length representations
publisher Institute of Electrical and Electronics Engineering (IEEE)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7351
_version_ 1643788786180554752
score 13.222552

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