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COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers. (arXiv:2207.09529v1 [cs.SD])
cs.LG updates on arXiv.org arxiv.org
Monitoring of prevalent airborne diseases such as COVID-19 characteristically
involve respiratory assessments. While auscultation is a mainstream method for
symptomatic monitoring, its diagnostic utility is hampered by the need for
dedicated hospital visits. Continual remote monitoring based on recordings of
respiratory sounds on portable devices is a promising alternative, which can
assist in screening of COVID-19. In this study, we introduce a novel deep
learning approach to distinguish patients with COVID-19 from healthy controls
given audio recordings of cough or …
arxiv covid covid-19 detection hierarchical spectrogram transformers