SpiroSmart: using a microphone to measure lung function on a mobile phone
Abstract
Home spirometry is gaining acceptance in the medical community because of its ability to detect pulmonary exacerbations and improve outcomes of chronic lung ailments. However, cost and usability are significant barriers to its widespread adoption. To this end, we present SpiroSmart, a low-cost mobile phone application that performs spirometry sensing using the built-in microphone. We evaluate SpiroSmart on 52 subjects, showing that the mean error when compared to a clinical spirometer is 5.1% for common measures of lung function. Finally, we show that pulmonologists can use SpiroSmart to diagnose varying degrees of obstructive lung ailments.
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Various sensors such as camera sensor, microphone sensor, accelerometer sensor, and gyroscope sensor were used in healthcare-based applications.
“Various sensors such as camera sensor [53–55], microphone sensor [56–58], accelerometer sensor [59–61], and gyroscope sensor [59, 62] were used in the healthcare-based applications.”
From Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective (2020) · cites this paper as [56]
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References 43 · Cited by 245
- Authors
- Larson, E. C., Goel, M., Boriello, G., Heltshe, S., Rosenfeld, M., & Patel, S. N.
- Affiliations
- University of Washington (US)
- University of Washington, Seattle, WA
- Seattle Children's Hospital (US)
- Venue
- Proceedings of the 2012 ACM Conference on Ubiquitous Computing
- Publisher
- ACM
- Published
- 2012-09-05
- Pages
- 280-289
- OpenAlex
- W2126423656
- Cited by
- 245
- References
- 43
- Citations by year
- 2026: 9 · 2025: 26 · 2024: 10 · 2023: 21 · 2022: 24 · 2021: 30 · 2020: 27 · 2019: 20 · 2018: 14 · 2017: 11 · 2016: 15 · 2015: 21 · 2014: 9 · 2013: 7 · 2012: 1
- FWCI
- 64.27
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) (publishedVersion)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- home spirometry, mobile application, obstructive lung disease, telemedicine
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