se of respiratory sounds using artificial intelligence for screening and diagnosis of respiratory diseases
Not Applicable
Completed
- Conditions
- Health Condition 1: J988- Other specified respiratory disorders
- Registration Number
- CTRI/2021/04/032742
- Lead Sponsor
- DBT BIRAC
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 2000
Inclusion Criteria
1. Patients able to read, understand and sign the Informed Consent Form.
2. Male or female patients, 18 years of age and over.
3. Patients presented with respiratory complaints (such as a new or worsened respiratory condition, acute cough, or onset of shortness of breath and respiratory diseases (Asthma, Bronchitis, COPD, ILD, Pneumonia), smokers and nonsmokers.
Exclusion Criteria
1.Patients who require ventilation, flow of oxygen > 4 liters etc. must be excluded from the study.
2.Patients less than 18 years of age.
3.Pregnancy
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Test the hypothesis that the Swaasa AI platform can detect the presence of underlying respiratory problem, the pattern of respiratory condition and its severity, and the likely presence of a respiratory disease using a combination of cough sound and/or breath sound characteristics in addition to symptoms.Timepoint: 9 months
- Secondary Outcome Measures
Name Time Method Further test Swaasa AI platform can reliability predict the spirometry values based on cough sound characteristicsTimepoint: 12 months