Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69560
Title: Cardiac state diagnosis using adaptive neuro-fuzzy technique
Authors: Kannathal, N.
Puthusserypady, S.K. 
Lim, C.M.
Acharya, R.U.
Laxminarayan, S.
Keywords: Adaptive neuro-fuzzy inference system
Heart rate
LLE
SD1/SD2
SE
Issue Date: 2005
Source: Kannathal, N.,Puthusserypady, S.K.,Lim, C.M.,Acharya, R.U.,Laxminarayan, S. (2005). Cardiac state diagnosis using adaptive neuro-fuzzy technique. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 7 VOLS : 3864-3867. ScholarBank@NUS Repository.
Abstract: Heart rate signals may either contain indicators of a current disease or even warnings about impending diseases. However, to manually study and pinpoint heart abnormalities in voluminous data is strenuous and time consuming. Here, an adaptive neuro-fuzzy network is used to classify heart abnormalities in ten different cardiac states and shown to be effective. © 2005 IEEE.
Source Title: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/69560
ISBN: 0780387406
ISSN: 05891019
Appears in Collections:Staff Publications

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