Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice

The issue in respiratory sound classification has attained good attention from the clinical scientists and medical researcher's group in the last year to diagnosing COVID-19 disease. To date, various models of Artificial Intelligence (AI) entered into the real-world to detect the COVID-19 disea...

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Detalles Bibliográficos
Autores principales: Lella, Kranthi Kumar, Pja, Alphonse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIMS Press 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116184/
https://www.ncbi.nlm.nih.gov/pubmed/34017889
http://dx.doi.org/10.3934/publichealth.2021019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116184/
https://www.ncbi.nlm.nih.gov/pubmed/34017889
http://dx.doi.org/10.3934/publichealth.2021019

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