Wearable Optical Fiber Sensor Based on a Bend Singlemode-Multimode-Singlemode Fiber Structure for Respiration Monitoring
Abstract
Respiration rate (RR) is an important information related to human physiological health. A wearable optical fiber sensor for respiration monitoring based on a bend singlemode-multimode-singlemode (SMS) fiber structure, which is highly sensitive to bend, is firstly proposed and experimentally demonstrated. The sensor fastened by an elastic belt on the abdomen of a person will acquire the respiration signal when the person breaths, which will introduce front and back movement of the abdomen, and thus bend of SMS fiber structure. Short-time Fourier transform (STFT) method is employed for signal processing to extract characteristic information of both the time and frequency domain of the measured waveform, which provides accurate RR measurement. Six different SMS fiber sensors have been tested by six individuals and the experimental results demonstrated that the RR signals can be effectively monitored among different individuals, where an average Pearson Correlation Coefficient of 0.88 of the respiration signal has been achieved, which agrees very well with that of commercial belt respiration sensor. The proposed technique can provide a new wearable and portable solution for monitoring of respiratory with advantage of easy fabrication and robust to environment.
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A chest belt with a single mode-multimode-single mode (SMS) fiber structure, using six different SMS fiber sensors tested on six subjects with short-time Fourier transform, achieved a Pearson correlation coefficient of p = 0.88.
“The fourth is the chest belt with a single mode-multimode-single mode (SMS) fiber structure, where six different SMS fiber sensors were tested on six subjects using a short-time Fourier transform and achieved a Pearson Correlation Coefficient with p = 0.88 [229].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [229]
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References 34 · Cited by 67
- Authors
- Pang, Y.-N., Liu, B., Liu, J., Wan, S. P., Wu, T., He, X., Yuan, J., Zhou, X., Long, K., & Wu, Q.
- Affiliations
- Nanchang Hangkong University (CN)
- University of Science and Technology Beijing (CN)
- Northumbria University (GB)
- Venue
- IEEE Sensors Journal
- Published
- 2021-02-15
- Volume
- 21
- Issue
- 4
- Pages
- 4610-4617
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W3093795794
- Cited by
- 67
- References
- 34
- Citations by year
- 2026: 6 · 2025: 17 · 2024: 12 · 2023: 16 · 2022: 11 · 2021: 5
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Sensors Journal (publishedVersion)
- Northumbria Research Link (Northumbria University) (acceptedVersion)
- Funders
- National Natural Science Foundation of China (11864025, 61665007, 62065013)
- Natural Science Foundation of Jiangxi Province (20192ACB20031, 20192ACBL21051)
- Major Academic and Technical Leaders Funding Program of Jiangxi, China (20172BCB22012)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Fiber Optic Sensors
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- respiratory monitoring, respiratory rate measurement, short-time Fourier transform, respiratory signal extraction, physiological monitoring
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