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Power and asymmetry ratio of spectral bands for mental task recognition

Palaniappan, Ramaswamy, Raveendan, P. (2001) Power and asymmetry ratio of spectral bands for mental task recognition. In: Proceedings of the Sixth International Symposium on Signal Processing and its Applications. . pp. 745-746. IEEE ISBN 978-0-7803-6703-6. (doi:10.1109/ISSPA.2001.950258) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:70769)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/ISSPA.2001.950258

Abstract

We use the power and asymmetry ratio of spectral bands to recognise mental tasks from electroencephalogram signals using a fuzzy ARTMAP neural network. Classical spectral analysis using the Wiener-Khintchine theorem and modem parametric spectral analysis using the autoregressive method are used to obtain these features. The highest classification results of 90% for a subject recognising two mental tasks validate the method.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ISSPA.2001.950258
Additional information: Unmapped bibliographic data: C7 - 950258 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - Int. Symp. Signal Proces. Its Appl., ISSPA - Proc.; Tutorials Commun., Image Process. Signal Anal. [Field not mapped to EPrints] AD - Dept. of Electrical and Telecommunication, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - [Field not mapped to EPrints] C3 - 6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Proceedings; 6 Tutorials in Communications, Image Processing and Signal Analysis [Field not mapped to EPrints]
Uncontrolled keywords: Image processing, Asymmetry ratios, Autoregressive methods, Classification results, Electroencephalogram signals, Fuzzy-Artmap Neural Network, Parametric spectral analysis, Spectral band, Wiener-Khintchine, Spectrum analysis
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 18:57 UTC
Last Modified: 16 Nov 2021 10:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70769 (The current URI for this page, for reference purposes)

University of Kent Author Information

Palaniappan, Ramaswamy.

Creator's ORCID: https://orcid.org/0000-0001-5296-8396
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