A new brain-computer interface design using fuzzy ARTMAP

This paper proposes a new brain-computer interface (BCI) design using fuzzy ARTMAP (FA) neural network, as well as an application of the design. The objective of this BCI-FA design is to classify the best three of the five available mental tasks for each subject using power spectral density (PSD) va...

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Main Authors: Palaniappan, R., Paramesran, R., Nishida, S., Saiwaki, N.
Format: Article
Language:English
Published: 2002
Subjects:
Online Access:http://shdl.mmu.edu.my/2631/
http://shdl.mmu.edu.my/2631/1/1891.pdf
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author Palaniappan, R.
Paramesran, R.
Nishida, S.
Saiwaki, N.
author_facet Palaniappan, R.
Paramesran, R.
Nishida, S.
Saiwaki, N.
author_sort Palaniappan, R.
building MMU Institutional Repository
collection Online Access
description This paper proposes a new brain-computer interface (BCI) design using fuzzy ARTMAP (FA) neural network, as well as an application of the design. The objective of this BCI-FA design is to classify the best three of the five available mental tasks for each subject using power spectral density (PSD) values of electroencephalogram (EEG) signals. These PSD values are extracted using the Wiener-Khinchine and autoregressive methods. Ten experiments employing different triplets of mental tasks are studied for each subject. The findings show that the average BCI-FA outputs for four subjects gave less than 6% of error using the best triplets of mental tasks identified from the classification performances of FA. This implies that the BCI-FA can be successfully used with a tri-state switching device. As an application, a proposed tri-state Morse code scheme could be utilized to translate the outputs of this BCI-FA design into English letters. In this scheme, the three BCI-FA outputs correspond to a dot and a dash, which are the two basic Morse code alphabets and a space to denote the end (or beginning) of a dot or a dash. The construction of English letters using this tri-state Morse code scheme is determined only by the sequence of mental tasks and is independent of the time duration of each mental task. This is especially useful for constructing letters that are represented as multiple dots or dashes. This combination of BCI-FA design and the tri-state Morse code scheme could be developed as a communication system for paralyzed patients.
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spelling mmu-26312011-09-08T03:40:37Z http://shdl.mmu.edu.my/2631/ A new brain-computer interface design using fuzzy ARTMAP Palaniappan, R. Paramesran, R. Nishida, S. Saiwaki, N. TA Engineering (General). Civil engineering (General) This paper proposes a new brain-computer interface (BCI) design using fuzzy ARTMAP (FA) neural network, as well as an application of the design. The objective of this BCI-FA design is to classify the best three of the five available mental tasks for each subject using power spectral density (PSD) values of electroencephalogram (EEG) signals. These PSD values are extracted using the Wiener-Khinchine and autoregressive methods. Ten experiments employing different triplets of mental tasks are studied for each subject. The findings show that the average BCI-FA outputs for four subjects gave less than 6% of error using the best triplets of mental tasks identified from the classification performances of FA. This implies that the BCI-FA can be successfully used with a tri-state switching device. As an application, a proposed tri-state Morse code scheme could be utilized to translate the outputs of this BCI-FA design into English letters. In this scheme, the three BCI-FA outputs correspond to a dot and a dash, which are the two basic Morse code alphabets and a space to denote the end (or beginning) of a dot or a dash. The construction of English letters using this tri-state Morse code scheme is determined only by the sequence of mental tasks and is independent of the time duration of each mental task. This is especially useful for constructing letters that are represented as multiple dots or dashes. This combination of BCI-FA design and the tri-state Morse code scheme could be developed as a communication system for paralyzed patients. 2002-09 Article NonPeerReviewed application/pdf en http://shdl.mmu.edu.my/2631/1/1891.pdf Palaniappan, R. and Paramesran, R. and Nishida, S. and Saiwaki, N. (2002) A new brain-computer interface design using fuzzy ARTMAP. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 10 (3). pp. 140-148. ISSN 1534-4320 http://dx.doi.org/10.1109/TNSRE.2002.802854 doi:10.1109/TNSRE.2002.802854 doi:10.1109/TNSRE.2002.802854
spellingShingle TA Engineering (General). Civil engineering (General)
Palaniappan, R.
Paramesran, R.
Nishida, S.
Saiwaki, N.
A new brain-computer interface design using fuzzy ARTMAP
title A new brain-computer interface design using fuzzy ARTMAP
title_full A new brain-computer interface design using fuzzy ARTMAP
title_fullStr A new brain-computer interface design using fuzzy ARTMAP
title_full_unstemmed A new brain-computer interface design using fuzzy ARTMAP
title_short A new brain-computer interface design using fuzzy ARTMAP
title_sort new brain-computer interface design using fuzzy artmap
topic TA Engineering (General). Civil engineering (General)
url http://shdl.mmu.edu.my/2631/
http://shdl.mmu.edu.my/2631/
http://shdl.mmu.edu.my/2631/
http://shdl.mmu.edu.my/2631/1/1891.pdf