S. Chino, H. Ishizawa, Shouhei Koyama, Keisaku Fujimoto, Shintaro Kurasawa, Kyoko Katayama
{"title":"Study on Pulse Wave Pattern for Blood Pressure Prediction Using FBG Sensor","authors":"S. Chino, H. Ishizawa, Shouhei Koyama, Keisaku Fujimoto, Shintaro Kurasawa, Kyoko Katayama","doi":"10.9746/sicetr.56.189","DOIUrl":null,"url":null,"abstract":"As the number of elderly people increases, the demand of vital sign continuous measurement devices for health monitoring is increasing. We are aiming at the development of wearable vital signs measuring equipment using Fiber Bragg Grating (FBG) sensor which is an optical fiber type strain sensor. In this report, blood pressure prediction was performed on seven elderly people with different pulse wave patterns, and the results were exam-ined. The blood pressure was predicted by constructing a calibration model by Partial Least Squares Regression (PLSR) from the reference blood pressure measured simultaneously with the pulse wave measured by the FBG sensor. As a result, the blood pressure prediction error of all subjects become 6 mmHg for systolic blood pressure and 4 mmHg for diastolic blood pressure, which indicate the possibility of blood pressure prediction using FBG sensor in elderly people with different pulse wave patterns. In addition, it is possible to construct a calibration model for more accurate blood pressure prediction.","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of the Society of Instrument and Control Engineers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9746/sicetr.56.189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
As the number of elderly people increases, the demand of vital sign continuous measurement devices for health monitoring is increasing. We are aiming at the development of wearable vital signs measuring equipment using Fiber Bragg Grating (FBG) sensor which is an optical fiber type strain sensor. In this report, blood pressure prediction was performed on seven elderly people with different pulse wave patterns, and the results were exam-ined. The blood pressure was predicted by constructing a calibration model by Partial Least Squares Regression (PLSR) from the reference blood pressure measured simultaneously with the pulse wave measured by the FBG sensor. As a result, the blood pressure prediction error of all subjects become 6 mmHg for systolic blood pressure and 4 mmHg for diastolic blood pressure, which indicate the possibility of blood pressure prediction using FBG sensor in elderly people with different pulse wave patterns. In addition, it is possible to construct a calibration model for more accurate blood pressure prediction.