Automatic Recognition of Fundamental Heart Sound Segments From PCG Corrupted With Lung Sounds and Speech-Reference-Cited by-同舟云学术

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Automatic Recognition of Fundamental Heart Sound Segments From PCG Corrupted With Lung Sounds and Speech

Published:2020 Issue: Volume:8 Page:179983-179994
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Babu K. Ajay^ORCID,Ramkumar Barathram

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09189879.pdf?arnumber=9189879

Cited by 9 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. Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography;Applied Soft Computing;2024-11

2. Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database;Electronics;2024-08-14

3. An Evolutionary Deep Learning for Respiratory Sounds Analysis: A Survey;Lecture Notes in Networks and Systems;2024

4. A novel heart sound segmentation algorithm via multi-feature input and neural network with attention mechanism;Biomedical Physics & Engineering Express;2022-12-30

5. A Heart Sound Diagnosis Processing Unit Based on LSTM Neural Network;2022 IEEE 4th International Conference on Circuits and Systems (ICCS);2022-09-23

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