Diagnosis of COVID-19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones

Scientific evidence shows that acoustic analysis could be an indicator for diagnosing COVID-19. From analyzing recorded breath sounds on smartphones, it is discovered that patients with COVID-19 have different patterns in both the time domain and frequency domain. These patterns are used in this pap...

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Detalles Bibliográficos
Autores principales: Chen, Zhiang, Li, Muyun, Wang, Ruoyu, Sun, Wenzhuo, Liu, Jiayi, Li, Haiyang, Wang, Tianxin, Lian, Yuan, Zhang, Jiaqian, Wang, Xinheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044719/
https://www.ncbi.nlm.nih.gov/pubmed/35489595
http://dx.doi.org/10.1016/j.jbi.2022.104078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044719/
https://www.ncbi.nlm.nih.gov/pubmed/35489595
http://dx.doi.org/10.1016/j.jbi.2022.104078

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