Heart Sounds Classification Using Frequency Features with Deep Learning Approaches-Reference-Cited by-同舟云学术

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Heart Sounds Classification Using Frequency Features with Deep Learning Approaches

Published:2024-01-22 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE Applied Sensing Conference (APSCON)
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Author:

Blitti Kokou Elvis Khorem¹,Tola Fitsum Getachew¹,Wangdi Pema¹,Kumar Dinesh²,Diwan Anjali¹

Affiliation:

1. Marwadi University,Computer Engineering-Artificial Intelligence,Rajkot,India

2. Bennett University,School of Computer Science Engineering and Technology,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465672/10465684/10465862.pdf?arnumber=10465862

Reference22 articles.

1. Automatic classification of heart sounds and murmurs: a review;Liu;Annals of Translational Medicine,2020

2. Heart sound classification using wavelet transform and support vector machine;Gholami;Biomedical Signal Processing and Control,2016

3. A neural network approach to heart sound classification;Pezzullo;IEEE Transactions on Biomedical Engineering,2006

4. A hidden Markov model-based approach for heart sound classification;Erkol;Biomedical Signal Processing and Control,2008

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods;IEEE Access;2024

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