Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning-Reference-Cited by-同舟云学术

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Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

Published:2020 Issue: Volume: Page:1-1
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Acharya Jyotibdha,Basu Arindam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/4156126/4358093/09040275.pdf?arnumber=9040275

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1. Noise-tolerant NMF-based parallel algorithm for respiratory rate estimation;The Journal of Supercomputing;2024-08-30

2. Fourier Decomposition-Based Automated Classification of Healthy, COPD, and Asthma Using Single-Channel Lung Sounds;IEEE Transactions on Medical Robotics and Bionics;2024-08

3. Lung Sound Classification for Respiratory Disease Identification Using Deep Learning: A Survey;International Journal of Online and Biomedical Engineering (iJOE);2024-07-16

4. TRespNET: A dual-route exploratory CNN model for pediatric adventitious respiratory sound identification;Biomedical Signal Processing and Control;2024-07

5. Respiratory Sounds Detection Using Discrete Wavelet Transform;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

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