NDLI: Detection and classification of systolic murmur for phonocardiogram screening

Content Provider	IEEE Xplore Digital Library
Author	Shino, H. Yoshida, H. Yana, K. Harada, K. Sudoh, J. Harasewa, E.
Copyright Year	1996
Description	Author affiliation: Dept. of Electron. Inf., Hosei Univ., Tokyo, Japan (Shino, H.)
Abstract	This paper introduces a method for the automatic classification of the phonocardiogram. The method utilizes a multi layer perceptron for detecting the presence of the systolic murmur and a spectral analysis for separating innocent murmur from pathological murmur. The effectiveness of the method was confirmed by applying the method to the data collected from nationwide phonocardiogram screening of the elementary school children conducted in Japan. Data include 44 pathological systolic murmur, 61 innocent murmur and 36 normal data. Average correct detection rate of 90.8% was achieved for systolic murmur detection. Spectral analysis then successfully separated musical murmur from pathological systolic murmur. The method could be an effective assistance for medical doctors make their final diagnoses.
Starting Page	123
Ending Page	124
File Size	196276
Page Count	2
File Format	PDF
ISBN	0780338111
DOI	10.1109/IEMBS.1996.656878
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-31
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Pathology Artificial neural networks Spectral analysis Educational institutions Pediatrics Electrocardiography Medical diagnostic imaging Cardiac disease Informatics
Content Type	Text
Resource Type	Article

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