Clinical Sound Dataset for Covid-19 and Evaluation using ResNet

2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)(2022)

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摘要
In this study, we built a sound dataset for COVID-19. Unlike other studies, we collect clinical data from patients with COVID-19 who agree to the Informed Consent Form. Therefore, the sound data from patients with COVID-19 are from subjects who were diagnosed with COVID-19 at the hospital. The dataset consists of 600 sounds which are 300 from patients with COVID-19 and 300 from non-COVID-19 subjects. For validation, we use ResNet to classify COVID-19 and non-COVID-19 sounds.
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关键词
COVID-19,deep learning,sound
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