Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System
Abstract
This paper analyzes the main challenges associated with noninvasive, continuous, wearable, and long-term breathing monitoring. The characteristics of an acoustic breathing signal from a miniature sensor are studied in the presence of sources of noise and interference artifacts that affect the signal. Based on these results, an algorithm has been devised to detect breathing. It is possible to implement the algorithm on a single integrated circuit, making it suitable for a miniature sensor device. The algorithm is tested in the presence of noise sources on five subjects and shows an average success rate of 91.3% (combined true positives and true negatives).
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Corbishley et al. developed a system to measure respiratory rate using a miniaturized wearable acoustic sensor (microphone).
“Another example of ingenious design is the system developed by Corbishley et al. [24] to measure respiratory rate using a miniaturized wearable acoustic sensor (i.e. microphone).”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [24]
The authors also presented an algorithm for the detection of apneas based on the acoustic sensing technology.
“The authors also presented an algorithm for the detection of apneas based on the above-described sensing technology.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [24]
By developing techniques to filter out environmental noise and other artifacts, the authors achieved accuracy greater than 90% in the measurement of breathing rate.
“By developing techniques to filter out environmental noise and other artifacts, the authors managed to achieve accuracy greater than 90% in the measurement of breathing rate.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [24]
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- Authors
- Corbishley, P., & Rodriguez-Villegas, E.
- Affiliations
- Imperial College London (GB)
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2008-01
- Volume
- 55
- Issue
- 1
- Pages
- 196-204
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2135517513
- Cited by
- 221
- References
- 22
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 13 · 2023: 19 · 2022: 8 · 2021: 13 · 2020: 12 · 2019: 24 · 2018: 20 · 2017: 24 · 2016: 16 · 2015: 19 · 2014: 15 · 2013: 9 · 2012: 7
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Phonocardiography and Auscultation Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- breathing detection, wearable sensors, non-invasive monitoring, signal processing algorithms, integrated circuit implementation, long-term physiological monitoring
- MeSH terms
- Acoustics, Auscultation, Diagnosis, Computer-Assisted, Equipment Design, Humans, Miniaturization, Electric Power Supplies, Respiratory Sounds, Sound Spectrography, Transducers, Respiratory Mechanics, Monitoring, Ambulatory, Equipment Failure Analysis
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