LungHeart-AtMe: Adventitious Cardiopulmonary Sounds Classification Using MMoE with STFT and MFCCs Spectrograms
Author:
Affiliation:
1. Shanghai Jiao Tong University,Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence,China
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168624.pdf?arnumber=10168624
Reference35 articles.
1. Omicron variant and booster COVID-19 vaccines
2. CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection
3. LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation
4. Deep Learning Methods for Heart Sounds Classification: A Systematic Review
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2. Live Demonstration: A Wearable Cardiopulmonary Healthcare System for Real-term Monitoring of Multi-modal Physiological Signals;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
3. Clearer HeartBeats: Enhancement of cardiac sounds using Adaptive Filtering and Wavelet Decomposition;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12
4. Grand Challenge on Respiratory Sound Classification for SPRSound Dataset;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
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