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Swaasa an AI-Based Novel Technique to Assess Lung Function in Yoga Practitioners in Comparison to Non-Yoga Practitioners: A Cross-Sectional study
medRxiv · · Preprint · Open access
Rao, Pal + 6 more
Abstract ↗AI summary
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Regular yoga practice (≥1 year) is linked to significantly higher Swaasa AI-derived lung function indices, including FVC and FEV, than in age- and sex-matched non-yoga adults.
- Why it matters: Lung function reflects respiratory health and may be shaped by lifestyle, but scalable non-invasive assessment beyond spirometry is still needed.
- What they did: In a cross-sectional comparative study, adult yoga practitioners (≥1 year) and age- and sex-matched non-yoga practitioners underwent Swaasa cough-analysis to estimate FVC, FEV, and cough pattern indices.
- The result: Yoga practitioners showed higher AI-derived FVC and FEV (p < 0.05) and improved respiratory health with reduced respiratory variability, suggesting better respiratory efficiency in this group.
The findingWhy it mattersWhat they didThe result
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- Open access