This study has been conducted to collect the Cough and breathing sound of COVID-19 positive and COVID-19 negative patients for analysis of early indication of COVID-19 in humans.
Not Applicable
- Conditions
- Health Condition 1: B972- Coronavirus as the cause of diseases classified elsewhere
- Registration Number
- CTRI/2020/06/025675
- Lead Sponsor
- Imperial Clinical Research Services
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
COVID19-Positive or COVID-19 suspected patients
Ready for giving the voice sample on Online portal via mobile app.
can give at least three cough sample and 1 breath voice sample.
Exclusion Criteria
Not ready to give the data.
Not able to use to online portal for data collection.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The primary objective of this research study is to utilize the data that is being collected and process it to build and train an AI model and work towards achieving a baseline accuracy that helps in compiling a software tool that can be used as a preliminary diagnosis tool on a mass scale with less time consumption and very limited resources.Timepoint: Screening/Baseline Visit
- Secondary Outcome Measures
Name Time Method The aim of this research is to collect data to inform the diagnosis of COVID-19 by developing machine learning algorithms, based primarily on sounds of their voice, their breathing and coughing.Timepoint: Screening/Baseline Visit