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|Title:||Cardiac state diagnosis using adaptive neuro-fuzzy technique||Authors:||Kannathal, N.
|Keywords:||Adaptive neuro-fuzzy inference system
|Issue Date:||2005||Citation:||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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