Listen-to-nose: a low-cost system to record nasal symptoms in daily life
Abstract
This paper proposes Listen-to-Nose, a phone-based system that detects and records when and where a person's nose-related symptoms, such as sneezing and runny nose, occur in everyday settings. It is hoped that this system can be used to collect reference data for doctors to diagnose the cause of these symptoms.
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Smartphone microphone can quantify flow and volume of air inspired and expired by lungs during breathing, reflecting degree of airflow obstruction in COPD and asthma.
“Some studies used the microphone of smartphones to quantify the flow and volume of air inspired and expired by the lungs during breathing, which reflects the degree of airflow obstruction in clinically associated pulmonary disorders such as COPD and asthma [82,83].”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [82]
Cites
The diagnosis and management of rhinitis: An updated practice parameter
WALLACE, D., DYKEWICZ, M., BERNSTEIN, D., BLESSINGMOORE, J., COX, L., KHAN, D., LANG, D., NICKLAS, R., OPPENHEIMER, J., & PORTNOY, J. (2008) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2008.06.003 · Cited by 1,096 · see citing works
Quality of Life in Allergic Rhinitis and Asthma
LEYNAERT, B., NEUKIRCH, C., LIARD, R., BOUSQUET, J., & NEUKIRCH, F. (2000) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.162.4.9912033 · Cited by 407 · cited 1× · see citing works
“Even if these symptoms are mild, they impair the normal function of the respiratory system and reduce people’s quality of life [2, 3].”
BackgroundPrevalence of allergic rhinitis in the United States
Nathan, R. A., Meltzer, E. O., Seiner, J. C., & Storms, W. W. (1997) · Journal of Allergy and Clinical Immunology · doi:10.1016/s0091-6749(97)80040-1 · Cited by 271 · see citing works
Accurate and privacy preserving cough sensing using a low-cost microphone
Larson, E. C., Lee, T.-J., Liu, S. T. H., Rosenfeld, M., & Patel, S. (2011) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2030112.2030163 · Cited by 224 · see citing works
Allergic rhinitis-induced nasal congestion: its impact on sleep quality
Storms, W. W. (2008) · Primary Care Respiratory Journal · doi:10.3132/pcrj.2008.00001 · Cited by 87 · see citing works
Automatic Detection System for Cough Sounds as a Symptom of Abnormal Health Condition
Shin, S.-H., Hashimoto, T., & Hatano, S. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2008.923771 · Cited by 73 · see citing works
A method for respiration monitoring by the use of a bioacoustic signal
Hult, P. (2000) · doi:10.1049/cp:20000312 · Cited by 10 · see citing works
Audio-Based Indoor Health Monitoring System Using FLAC Features
Ye, J., Kobayashi, T., & Higuchi, T. (2010) · International Conference on Emerging Security Technologies · doi:10.1109/est.2010.13 · Cited by 4 · see citing works
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Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Dang, T., Spathis, D., Ghosh, A., & Mascolo, C. (2023) · Royal Society Open Science · doi:10.1098/rsos.230806 · Cited by 30 · see citing works
- Authors
- Chen, N.-C., Wang, K.-C., & Chu, H.-H.
- Affiliations
- National Taiwan University (TW)
- ORCID
- Chen, Nan-Chen
- Venue
- Proceedings of the 2012 ACM Conference on Ubiquitous Computing
- Publisher
- ACM
- Published
- 2012-09-05
- Pages
- 590-591
- OpenAlex
- W2017702708
- Cited by
- 15
- References
- 8
- Citations by year
- 2026: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2019: 1 · 2018: 2 · 2015: 3 · 2014: 1 · 2013: 2
- FWCI
- 1.36
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Keywords
- rhinorrhea, diagnostic support
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