Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks

2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)(2021)

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摘要
The COVID-19 pandemic has affected the world unevenly; while industrial economies have been able to produce the tests necessary to track the spread of the virus and mostly avoided complete lockdowns, developing countries have faced issues with testing capacity. In this paper, we explore the usage of deep learning models as a ubiquitous, low-cost, pre-testing method for detecting COVID-19 from audi...
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关键词
COVID-19,Deep learning,Databases,Biological system modeling,Neural networks,Developing countries,Data models
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