Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: Cough, voice, and breath

Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: Cough, voice, and breath

The problem of respiratory sound classification has received good attention from the clinical scientists and medical researcher’s community in the last year to the diagnosis of COVID-19 disease. The Artificial Intelligence (AI) based models deployed into the real-world to identify the COVID-19 disea...

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Bibliographic Details
Main Authors: Kranthi Kumar Lella, Alphonse Pja
Format: Article
Language:English
Published: Elsevier 2022-02-01
Series:Alexandria Engineering Journal
Subjects:
Artificial Intelligence
Deep Convolutional Networks
COVID-19
Respiratory Sounds
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821003859

Internet

http://www.sciencedirect.com/science/article/pii/S1110016821003859

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