The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection.

ABSTRACT:

Objectives

The coronavirus disease 2019 (COVID-19) has caused a crisis worldwide. Amounts of efforts have been made to prevent and control COVID-19's transmission, from early screenings to vaccinations and treatments. Recently, due to the spring up of many automatic disease recognition applications based on machine listening techniques, it would be fast and cheap to detect COVID-19 from recordings of cough, a key symptom of COVID-19. To date, knowledge of the acoustic characteristics of COVID-19 cough sounds is limited but would be essential for structuring effective and robust machine learning models. The present study aims to explore acoustic features for distinguishing COVID-19 positive individuals from COVID-19 negative ones based on their cough sounds.

Methods

By applyi

SUBMITTER: Ren Z 

PROVIDER: S-EPMC9197794 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature