Abstract
Heart sound analysis is a basic method for cardiac evaluation, which contains physiological and pathological information of various parts of the heart and interactions between them. This paper aims to design a system for analyzing heart sounds including automatic analysis and classification. With the features extracted by wavelet decomposition and Normalized Average Shannon Energy, a novel fuzzy neural network method with structure learning is proposed for the heart sound classification. Experiments with real data demonstrated that our approach can correctly classify all the tested heart sounds even for the ones with previous unseen heart diseases.
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Jia, L., Song, D., Tao, L., Lu, Y. (2012). Heart Sounds Classification with a Fuzzy Neural Network Method with Structure Learning. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31362-2_15
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DOI: https://doi.org/10.1007/978-3-642-31362-2_15
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