Abstract
The awareness of the importance of monitoring human vital signs has increased recently due to the outbreak of the COVID-19 pandemic. Non-invasive heart rate monitoring devices, in particular, have become some of the most popular tools for health monitoring. However, heart rate data alone are not enough to reflect the health of one’s cardiovascular function or arterial health. This growing interest has spurred research into developing high-fidelity non-invasive pulse waveform sensors. These sensors can provide valuable information such as data on blood pressure, arterial stiffness, and vascular aging from the pulse waveform. Among these sensors, optical fiber sensors (OFSs) stand out due to their remarkable properties, including resistance to electromagnetic interference, capability in monitoring multiple vital signals simultaneously, and biocompatibility. This paper reviews the latest advancements in using OFSs to measure human vital signs, with a focus on pulse waveform analysis. The various working mechanisms of OFSs and their performances in measuring the pulse waveform are discussed. In addition, we also address the challenges faced by OFSs in pulse waveform monitoring and explore the opportunities for future development. This technology shows great potential for both clinical and personal non-invasive pulse waveform monitoring applications. © 2025 by the authors.
| Original language | English |
|---|---|
| Article number | 662 |
| Journal | Photonics |
| Volume | 12 |
| Issue number | 7 |
| Online published | 30 Jun 2025 |
| DOIs | |
| Publication status | Published - Jul 2025 |
Funding
This research was funded by The Hong Kong Polytechnic University (UGC 1-CDJ0), Hong Kong Baptist University (H-ZL26), and the Department of Science and Technology of Guangdong Province (K-ZGAR).
Research Keywords
- arterial pulse wave
- non-invasive biomedical sensor
- optical fiber sensor
- pulse waveform monitoring
- vital sign monitoring
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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