Noninvasive Monitoring of Vital Signs Based on Highly Sensitive Fiber Optic Mattress
Open accessAbstract
A smart mattress based on optical fiber Mach-Zender interferometer (OF-MZI) is designed for noninvasive and continuous monitoring of human vital signs. Through arranging the sensing fiber between two elastic covering layers with sandwich structure, the mattress was sensitive to the respiration and heartbeat induced micro-pressure. In the processing terminal, the waveforms of vital signs were demodulated by 3*3 coupler based differentiate and cross-multiplying method, and then four characteristic indicators including the heart rate, heartbeat amplitude, respiration rate, and respiration amplitude were respectively extracted through feature extraction algorithm, for evaluating the human health condition. Clinical experimental results of eighteen subjects indicate that the mattress system could not only distinguish the activity states of no body, on bed, body movement and off bed, but also contribute to clinical diagnosis of bradycardia, tachycardia, polypnea and apnoea. By adopting Bland-Altman analysis method, good reproducibility and accuracy were confirmed, where the max errors of heart rate and respiration rate are respectively 2 bpm and 1 bpm. Moreover, the responses at different positions of the mattress are identical and the continuous monitoring results in one day are consistent with daily change of vital signs, which proves that the fiber optic mattress has good reliability and stability. Beneficial from high-sensitivity, multiple parameters, long-term continuous monitoring, high comfortability and low cost, the mattress is promising in the early detection and prevention of cardiac and respiratory diseases as a household medical device.
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A fiber sandwich structure with a three × three coupler-based differentiate and cross-multiplying method achieves good reproducibility and accuracy with maximum errors of 2 bpm and 1 rpm in monitoring HR, HR amplitude, RR, and respiration amplitude.
“They applied a three × three coupler-based differentiate and cross-multiplying method [237] to achieve good reproducibility and accuracy with max. errors 2 bpm and 1 rpm in monitoring HR, HR amplitude, RR, and respiration amplitude.”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [237]
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The Current State of Optical Sensors in Medical Wearables
Vavrinsky, E., Esfahani, N. E., Hausner, M., Kuzma, A., Rezo, V., Donoval, M., & Kosnacova, H. (2022) · Biosensors · doi:10.3390/bios12040217 · Cited by 103 · see citing works
- Authors
- Wang, S., Ni, X., Li, L., Wang, J., Liu, Q., Yan, Z., Zhang, L., & Sun, Q.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Huazhong University of Science and Technology Hospital (CN)
- Aston University (GB)
- Venue
- IEEE Sensors Journal
- Published
- 2020-06-01
- Volume
- 20
- Issue
- 11
- Pages
- 6182-6190
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W3007661370
- Cited by
- 71
- References
- 34
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 13 · 2023: 18 · 2022: 12 · 2021: 11
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- IEEE Sensors Journal (publishedVersion)
- Aston Publications Explorer (Aston University) (submittedVersion)
- Funders
- Wuhan Morning Light Plan of Youth Science and Technology (2017050304010280)
- National Natural Science Foundation of China (61922033, 61775072)
- Science Fund for Creative Research Groups of the Natural Science Foundation of Hubei (2018CFA004)
- Fundamental Research Funds for the Central Universities (2019kfyRCPY095)
- 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
- non-invasive vital sign monitoring, heart rate monitoring, respiration rate monitoring, smart mattress, pressure sensing, bradycardia detection, tachycardia detection, apnea detection, polypnea, home medical devices, continuous physiological monitoring
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