Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection.

ABSTRACT: This paper presents the Coswara dataset, a dataset containing diverse set of respiratory sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 individuals (1819 SARS-CoV-2 negative, 674 positive, and 142 recovered subjects). The respiratory sounds contained nine sound categories associated with variants of breathing, cough and speech. The rich metadata contained demographic information associated with age, gender and geographic location, as well as the health information relating to the symptoms, pre-existing respiratory ailments, comorbidity and SARS-CoV-2 test status. Our study is the first of its kind to manually annotate the audio quality of the entire dataset (amounting to 65 hours) through manual listening. The paper summarizes the data collection procedu

SUBMITTER: Bhattacharya D 

PROVIDER: S-EPMC10287715 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature