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https://doi.org/10.1016/j.medengphy.2005.11.011
| Title: | Cardiac state diagnosis using adaptive neuro-fuzzy technique | Authors: | Kannathal, N. Lim, C.M. Rajendra Acharya, U. Sadasivan, P.K. |
Keywords: | Electrocardiogram Heart rate Neuro-fuzzy Poincare plot Spectral entropy |
Issue Date: | Oct-2006 | Citation: | Kannathal, N., Lim, C.M., Rajendra Acharya, U., Sadasivan, P.K. (2006-10). Cardiac state diagnosis using adaptive neuro-fuzzy technique. Medical Engineering and Physics 28 (8) : 809-815. ScholarBank@NUS Repository. https://doi.org/10.1016/j.medengphy.2005.11.011 | Abstract: | Analysis of heart rate has become a popular noninvasive tool for assessing the activities of the autonomic nervous system (ANS). These 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 10 different cardiac states and shown to be effective. The results indicate a high level of efficacy of tools used with an accuracy level of more than 94%. © 2005 IPEM. | Source Title: | Medical Engineering and Physics | URI: | http://scholarbank.nus.edu.sg/handle/10635/55255 | ISSN: | 13504533 | DOI: | 10.1016/j.medengphy.2005.11.011 |
| Appears in Collections: | Staff Publications |
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