| Literature DB >> 17281074 |
N Kannathal1, Sadasivan Puthusserypady, Lim Choo Min, U Rajendra Acharya, Swamy Laxminarayan.
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.Entities:
Year: 2005 PMID： 17281074 DOI： 10.1109/IEMBS.2005.1615304
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X