Acoustic surveillance of cough for detecting respiratory disease using artificial intelligence.

ABSTRACT:

Research question

Can smartphones be used to detect individual and population-level changes in cough frequency that correlate with the incidence of coronavirus disease 2019 (COVID-19) and other respiratory infections?

Methods

This was a prospective cohort study carried out in Pamplona (Spain) between 2020 and 2021 using artificial intelligence cough detection software. Changes in cough frequency around the time of medical consultation were evaluated using a randomisation routine; significance was tested by comparing the distribution of cough frequencies to that obtained from a model of no difference. The correlation between changes of cough frequency and COVID-19 incidence was studied using an autoregressive moving average analysis, and its strength determined by calculating

SUBMITTER: Gabaldon-Figueira JC 

PROVIDER: S-EPMC9149391 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature