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| 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 | 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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