@inproceedings{8f6cccb2b3bc42ef86b2a4c388c8dca2,
title = "Heart sounds classification with a fuzzy neural network method with structure learning",
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.",
keywords = "Fuzzy neural network, Heart sounds, Structure learning",
author = "Lijuan Jia and Dandan Song and Linmi Tao and Yao Lu",
year = "2012",
doi = "10.1007/978-3-642-31362-2_15",
language = "English",
isbn = "9783642313615",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "130--140",
booktitle = "Advances in Neural Networks, ISNN 2012 - 9th International Symposium on Neural Networks, Proceedings",
edition = "PART 2",
note = "9th International Symposium on Neural Networks, ISNN 2012 ; Conference date: 11-07-2012 Through 14-07-2012",
}