COVID-19: respiratory disease diagnosis with regularized deep convolutional neural network using human respiratory sounds

Human respiratory sound auscultation (HRSA) parameters have been the real choice for detecting human respiratory diseases in the last few years. It is a challenging task to extract the respiratory sound features from the breath, voice, and cough sounds. The existing methods failed to extract the sou...

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Detalles Bibliográficos
Autores principales: Kranthi Kumar, Lella, Alphonse, P. J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363874/
https://www.ncbi.nlm.nih.gov/pubmed/35966369
http://dx.doi.org/10.1140/epjs/s11734-022-00649-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363874/
https://www.ncbi.nlm.nih.gov/pubmed/35966369
http://dx.doi.org/10.1140/epjs/s11734-022-00649-9

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