{
  "abstract": "Background: Lung function is a key indicator of respiratory health and is known to be influenced by lifestyle practices such as yoga. Recent advances in artificial intelligence (AI) have enabled non-invasive, scalable, and real-time assessment of physiological parameters. Swaasa is an AI-based novel technique designed to assess lung function through cough analysis, offering a potential alternative to conventional spirometry. Objective: The present study aimed to evaluate lung function using Swaasa among yoga practitioners and compare the findings with age- and sex-matched non-yoga practitioners in a cross-sectional design. Methods: A cross-sectional comparative study was conducted on adult participants divided into two groups: regular yoga practitioners ([≥]1 year of practice) and non-yoga practitioners. Lung function parameters, including Forced Vital Capacity (FVC), Forced Expiratory Volume in one second (FEV), and cough pattern indices, were assessed using the Swaasa AI-based system. Results: Yoga practitioners demonstrated significantly higher AI-derived lung function indices, including FVC and FEV, compared to non-yoga practitioners (p < 0.05). Improved respiratory health and reduced respiratory variability were also observed in the yoga group, indicating enhanced respiratory efficiency. Conclusion: The findings suggest that regular yoga practice is associated with better lung function as assessed by Swaasa.",
  "abstract_shown": true,
  "affiliations": [
    "Salcit Technologies Private Limited"
  ],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "S. Rao"
    },
    {
      "name": "R. Pal"
    },
    {
      "name": "A. Rawat"
    },
    {
      "name": "P. Chaudhury"
    },
    {
      "name": "I. N. Acharya"
    },
    {
      "name": "S. V. Singh"
    },
    {
      "name": "K. Samagandi"
    },
    {
      "affs": [
        0
      ],
      "name": "S. Palreddy"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/48sw3z540q1pn.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.11.05.26359313",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.11.05.26359313v1.full",
  "id": "48sw3z540q1pn",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.11.05.26359313v1",
  "language": null,
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "respiratory medicine"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.11.05.26359313v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-05",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/48sw3z540q1pn.ris",
  "sources": [
    {
      "first_seen": "2026-11-07T00:20:58Z",
      "native_id": "10.64898/2026.11.05.26359313",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.11.05.26359313v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "medrxiv:respiratory medicine",
      "subfield": "general"
    }
  ],
  "title": "Swaasa an AI-Based Novel Technique to Assess Lung Function in Yoga Practitioners in Comparison to Non-Yoga Practitioners: A Cross-Sectional study",
  "title_text": "Swaasa an AI-Based Novel Technique to Assess Lung Function in Yoga Practitioners in Comparison to Non-Yoga Practitioners: A Cross-Sectional study",
  "type": "preprint",
  "updated_at": "2026-11-08T00:20:58Z",
  "url": "https://research.draconitic.com/paper/48sw3z540q1pn",
  "venue": "medRxiv",
  "versions": []
}