Separation of Heart and Lung Sounds by A Deep Network-Based Model
Author:
Affiliation:
1. Feng Chia University,Ph.D. Program of Electrical and Communications Engineering
2. Feng Chia University
3. Chung Shan Medical University Hospital
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10332455/10332553/10332660.pdf?arnumber=10332660
Reference8 articles.
1. A model of breathing abnormalities in sleep for development of classification and diagnosis techniques
2. Statistical analysis of tracheal breath sounds during wakefulness for screening obstructive sleep apnea
3. Visual Speech Enhancement using Noise-Invariant Training;Gabbay,2017
4. Seeing Through Noise: Visually Driven Speaker Separation And Enhancement
5. The Conversation: Deep Audio-Visual Speech Enhancement
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. Classification and Recognition of Lung Sounds Based on Improved Bi-ResNet Model;IEEE Access;2024
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