Feature Extraction and Classification of Phonocardiograms using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Feature Extraction and Classification of Phonocardiograms using Convolutional Neural Networks

Published:2020-09-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)
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Author:

Chakraborty Devjyoti,Bhattacharya Snehangshu,Thakur Ayush,Gosthipaty Aritra Roy,Datta Chira

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9290509/9290493/09290565.pdf?arnumber=9290565

Cited by 5 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. Heart Signal Analysis Using Multistage Classification Denoising Model;Journal of Electrical and Computer Engineering;2024-05-13

2. HS-Vectors: Heart Sound Embeddings for Abnormal Heart Sound Detection Based on Time-Compressed and Frequency-Expanded TDNN With Dynamic Mask Encoder;IEEE Journal of Biomedical and Health Informatics;2023-03

3. Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds;2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2022-07-11

4. Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications;IEEE Access;2022

5. Automated Assessment of the Quality of Phonocardographic Recordings through Signal-to-Noise Ratio for Home Monitoring Applications;Sensors;2021-10-30

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