Research on Intelligent Analysis Model of Heart Sound based on Deep Learning

Hui Yu, Hui Yu, Hui Yu, Jing Zhao, Jinglai Sun, Jinglai Sun, Zhaoyu Qiu

2021

Abstract

Heart sound auscultation is one of the most basic cardiac diagnosis techniques, but the traditional artificial auscultation method requires experienced clinicians and is limited by environmental factors. In this study, an intelligent analysis model of heart sound based on deep learning was designed to meet the daily public screening. Firstly, two public data sets and clinical self-collected data sets were fused, and pretreatments were carried out,such as normalization, denoising, overlapping cutting and subsampling. Then, the extraction and quantitative analysis of heart sound features were completed using bispectrum analysis technology. Finally, the features were input into the constructed improved convolutional neural network for classification. The results show that the accuracy, sensitivity, specificity and F1 score of normal and abnormal heart sounds were 85.5%, 85.7%, 85.3% and 85.9%, respectively, and the performance of pathological heart sounds classification was over 90%, reaching the highest level of this kind of research at present. This model provides a standardized evaluation with high classification performance and can quickly complete the intelligent analysis of heart sounds, which has important clinical significance.1

Paper Citation

in Harvard Style

Yu H., Zhao J., Sun J. and Qiu Z. (2021). Research on Intelligent Analysis Model of Heart Sound based on Deep Learning. In Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH, ISBN 978-989-758-594-4, pages 244-248. DOI: 10.5220/0011291400003444

in Bibtex Style

@conference{caih21,
author={Hui Yu and Jing Zhao and Jinglai Sun and Zhaoyu Qiu},
title={Research on Intelligent Analysis Model of Heart Sound based on Deep Learning},
booktitle={Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,},
year={2021},
pages={244-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011291400003444},
isbn={978-989-758-594-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,
TI - Research on Intelligent Analysis Model of Heart Sound based on Deep Learning
SN - 978-989-758-594-4
AU - Yu H.
AU - Zhao J.
AU - Sun J.
AU - Qiu Z.
PY - 2021
SP - 244
EP - 248
DO - 10.5220/0011291400003444