Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds
Our study demonstrates that cough audio signals provide valuable insights for identifying COPD risk, effectively complementing exhalation signals in assessments. This approach is not only feasible and practical for real-world applications, but also offers an affordable and accessible solution, especially beneficial in resource-limited settings.
Authors
- Wei Zhao (ORCID: https://orcid.org/0000-0003-2296-9050)
- Yanyan Xu (ORCID: https://orcid.org/0000-0002-7876-0961)
- Chenshuo Wang (ORCID: https://orcid.org/0000-0001-8598-0594)
- Jinliang Meng
- Ruiqi Wang (ORCID: https://orcid.org/0000-0002-4075-8815)
- Zijing Zeng
- Geyi Wen (ORCID: https://orcid.org/0000-0001-6757-7830)
Institutions
- Kunming University of Science and Technology (CN)
- China Mobile (China) (CN)
- First People's Hospital of Yunnan Province (CN)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-07-05
- DOI
- https://doi.org/10.1186/s12938-025-01420-6
- Citations
- 2
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 3.04