Measurement of Pulse Wave Signals and Blood Pressure by a Plastic Optical Fiber FBG Sensor

Author:

Haseda Yuki,Bonefacino Julien,Tam Hwa-Yaw,Chino Shun,Koyama ShouheiORCID,Ishizawa Hiroaki

Abstract

Fiber Bragg grating (FBG) sensors fabricated in silica optical fiber (Silica-FBG) have been used to measure the strain of human arteries as pulse wave signals. A variety of vital signs including blood pressure can be derived from these signals. However, silica optical fiber presents a safety risk because it is easily fractured. In this research, an FBG sensor fabricated in plastic optical fiber (POF-FBG) was employed to resolve this problem. Pulse wave signals were measured by POF-FBG and silica-FBG sensors for four subjects. After signal processing, a calibration curve was constructed by partial least squares regression, then blood pressure was calculated from the calibration curve. As a result, the POF-FBG sensor could measure the pulse wave signals with an signal to noise (SN) ratio at least eight times higher than the silica-FBG sensor. Further, the measured signals were substantially similar to those of an acceleration plethysmograph (APG). Blood pressure is measured with low error, but the POF-FBG APG correlation is distributed from 0.54 to 0.72, which is not as high as desired. Based on these results, pulse wave signals should be measured under a wide range of reference blood pressures to confirm the reliability of blood pressure measurement uses POF-FBG sensors.

Funder

Japan Society for the Promotion of Science

Program on Open Innovation Platform with Enterprises, Research Institute and Academia

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference16 articles.

1. Estimated Number of Patients (per Day), 2014 Summary of Patient Survey https://www.mhlw.go.jp/english/database/db-hss/dl/sps_2014_01.pdf

2. The validity and inter-device variability of the Apple WatchTM for measuring maximal heart rate;Grant;J. Sports Sci.,2018

3. Heart rate monitoring system using fingertip through arduino and processing software;Mallick;Int. J. Sci. Eng. Technol. Res. (IJSETR),2016

4. Flexible, Highly Sensitive, and Wearable Pressure and Strain Sensors with Graphene Porous Network Structure

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