A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies-Reference-Cited by-同舟云学术

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A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies

Published:2023-10-19 Issue: Volume:30 Page:1-5
ISSN:
Container-title:2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)
language:
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Author:

Ngo Dat¹,Pham Lam²,Phan Huy³,Tran Minh⁴,Jarchi Delaram¹

Affiliation:

1. University of Essex,School of Computer Science and Electronic Engineering,UK

2. Austrian Institute of Technology,Center for Digital Safety & Security,Austria

3. Amazon Alexa,Cambridge,MA,US

4. University of Oxford,Nuffield Department of Clinical Neurosciences,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388488/10388438/10388598.pdf?arnumber=10388598

Reference23 articles.

1. Lung disease in the uk,2023

2. Machine learning in lung sound analysis: A systematic review

3. A Novel Wheeze Detection Method for Wearable Monitoring Systems

4. Efficiently Classifying Lung Sounds through Depthwise Separable CNN Models with Fused STFT and MFCC Features

5. A robust heart sounds segmentation module based on S-transform

Cited by 2 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. Breathalytics: Deep Learning-Based Prediction of Abnormality in Respiratory Sounds using Continuous Wavelet Transform;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

2. Grand Challenge on Respiratory Sound Classification for SPRSound Dataset;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

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