Research progress of FBG in physical signs monitoring

YAN Xiyan; ZHANG Ziwei; FENG Yan; ZHANG Hua

doi:10.12299/jsues.24-0241

Volume 40 Issue 1

Mar. 2026

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Article Navigation > Journal of Shanghai University of Engineering Science > 2026 > 40(1): 95-100

YAN Xiyan, ZHANG Ziwei, FENG Yan, ZHANG Hua. Research progress of FBG in physical signs monitoring[J]. Journal of Shanghai University of Engineering Science, 2026, 40(1): 95-100. doi: 10.12299/jsues.24-0241

Citation:

YAN Xiyan, ZHANG Ziwei, FENG Yan, ZHANG Hua. Research progress of FBG in physical signs monitoring[J]. Journal of Shanghai University of Engineering Science, 2026, 40(1): 95-100. doi: 10.12299/jsues.24-0241

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Research progress of FBG in physical signs monitoring

doi: 10.12299/jsues.24-0241

YAN Xiyan^{1a, 1b, 2
,},
ZHANG Ziwei^{1a, 1b, 2},
FENG Yan^{1a, 1b, 2
,
,},
ZHANG Hua^{1a, 1b, 2}

1a.
School of Mechanical and Automotive Engineering
1b.
Robotics Institute, Shanghai University of Engineering Science, Shanghai 201620, China
2.
Shanghai Collaborative Innovation Center of Intelligent Manufacturing Robot Technology for Large Components, Shanghai 201620, China

Received Date: 2024-08-23
Available Online: 2026-05-27
Publish Date: 2026-03-01

Abstract

Abstract

Monitoring of human vital signs facilitates early detection of potential diseases, guidance for clinical intervention, and promotion of rehabilitation. Compared with traditional sensors such as capacitive, inductive, micro-turbine, and thermistor sensors, fiber Bragg grating (FBG) sensors are characterized by good linearity, high sensitivity, anti-electromagnetic interference, and ease of integration, and thus are considered to have promising prospects in human vital sign monitoring. The application status of FBG sensors in monitoring four major vital sign parameters (body temperature, blood pressure, pulse, and respiration) was systematically reviewed. It is found that FBG sensors are feasible for all four parameters. Improvements have been achieved particularly in signal quality and comfort. Multi-parameter combined monitoring is recognized as a research hotspot. Future efforts should focus on integrating intelligent algorithms and compact design to promote clinical early warning and remote rehabilitation applications.
- fiber Bragg grating (FBG),
- physical signs monitoring,
- body temperature,
- blood pressure,
- pulse,
- respiration

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References(51)

References

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