Abstract

In this paper, we propose a blood pressure calculation and associated measurement method that by using a fiber Bragg grating (FBG) sensor. There are several points at which the pulse can be measured on the surface of the human body, and when a FBG sensor located at any of these points, the pulse wave signal can be measured. The measured waveform is similar to the acceleration pulse wave. The pulse wave signal changes depending on several factors, including whether or not the individual is healthy and/or elderly. The measured pulse wave signal can be used to calculate the blood pressure using a calibration curve, which is constructed by a partial least squares (PLS) regression analysis using a reference blood pressure and the pulse wave signal. In this paper, we focus on the influence of individual differences from calculated blood pressure based on each calibration curve. In our study, the calculated blood pressure from both the individual and overall calibration curves were compared, and our results show that the calculated blood pressure based on the overall calibration curve had a lower measurement accuracy than that based on an individual calibration curve. We also found that the influence of the individual differences on the calculated blood pressure when using the FBG sensor method were very low. Therefore, the FBG sensor method that we developed for measuring the blood pressure was found to be suitable for use by many people.

Highlights

  • Japan is an aging society [1], and the Japanese people understand the importance of monitoring their health on a daily basis

  • In order to verify our method of measuring blood pressure using an fiber Bragg grating (FBG) sensor, we compared our results to the measured pulse wave signal and the calculation method for determining the blood pressure:

  • The pulse wave signal measured by the FBG sensor is similar to the acceleration pulse wave signal

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Summary

Introduction

Japan is an aging society [1], and the Japanese people understand the importance of monitoring their health on a daily basis. There is a high need for wearable health monitoring sensors. Our research is focused on vital sign measurement sensors using fiber Bragg grating (FBG) sensors, which are high precision optical fiber type strain sensors that use a diffraction grating that is sensitive to the optically induced refractive index change in optical fibers. The diffraction grating is the sensing component in the FBG sensor, and detects the strain by applying the diffraction grating to measure the. The FBG sensor is used in various fields as strain sensor. The research of vital sign measurement using the FBG sensor are reported [5,6,7]

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