Restoration of Lung Sound Signals Using a Hybrid Wavelet-Based Approach-Reference-Cited by-同舟云学术

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Restoration of Lung Sound Signals Using a Hybrid Wavelet-Based Approach

Published:2022-10-15 Issue:20 Volume:22 Page:19700-19712
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Lee Chang Sheng¹,Li Minghui¹^ORCID,Lou Yaolong²,Dahiya Ravinder³^ORCID

Affiliation:

1. James Watt School of Engineering, University of Glasgow, Glasgow, U.K

2. Global Technology Integration Department, Hill-Rom Services Pte Ltd, Hong Kong, Singapore

3. Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, Glasgow, U.K

Funder

Singapore Economic Development Board

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9920237/09881964.pdf?arnumber=9881964

Cited by 6 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 Hybrid Denoising Method for Electromagnetic Acoustic Detection;IEEE Sensors Journal;2024-08-15

2. Continual Monitoring of Respiratory Disorders to Enhance Therapy via Real-Time Lung Sound Imaging in Telemedicine;Electronics;2024-04-26

3. Design of a Robust Lung Sound Acquisition System for Reliable Acoustic Lung Imaging;2023 IEEE International Ultrasonics Symposium (IUS);2023-09-03

4. The Effect of Sensor Array Design on Acoustic Imaging for Enhancing HFCWO Therapy;2023 20th International Multi-Conference on Systems, Signals & Devices (SSD);2023-02-20

5. An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise;IEEE Access;2023

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