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- W852376913 abstract "Clinicians usually use stethoscopic auscultation for the diagnosis of heart diseases. However, the heart sound signal has varying characteristics due to the noise and/or the conditions of the patients. Also, it is not easy for junior clinicians to find the acoustical differences between different kinds or heart sound signals. which may result in errors in the diagnosis. Thus it will be quite useful for the clinicians to make use of an automatic classification system using signal processing techniques. In this paper, we propose to use hidden Markov models in stead of artificial neural networks which have been conventionally used for the automatic classification of heart sounds. In the experiments classifying heart sound signals. we could see that the proposed methods were quite successful in the classification accuracy." @default.
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- W852376913 date "2006-01-01" @default.
- W852376913 modified "2023-09-24" @default.
- W852376913 title "A Study on Classification of Heart Sounds Using Hidden Markov Models" @default.
- W852376913 hasPublicationYear "2006" @default.
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