Role of cough and voice analysis using artificial intelligence in the management of COVID 19 patients
Not Applicable
- Conditions
- Health Condition 1: B972- Coronavirus as the cause of diseases classified elsewhere
- Registration Number
- CTRI/2020/07/026677
- Lead Sponsor
- Gnaneswar Atturu
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
1.Confirmed COVID 19 positive patients (both symptomatic and asymptomatic)
2.Suspected but not confirmed COVID 19 patients
3.Contacts of confirmed COVID 19 patients
4.Persons with previous co-morbidities will also be considered
Exclusion Criteria
1.Persons who refuse to give consent
2.Persons who canâ??t cough or record a sentence
3.Patients who are on ventilator support (at the time of recruitment)
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method collecting the necessary acoustic samples from COVID 19 patients and healthy volunteers that can be used to build a machine learning model and understand the acoustic patterns.Timepoint: 3 months
- Secondary Outcome Measures
Name Time Method usability of mobile application in early detection, triaging and predicting prognosis of COVID 19 patientsTimepoint: 3 months