Cuffless Blood Pressure Estimation Based on Data-Oriented Continuous Health Monitoring System

Overview

Journal Comput Math Methods Med

Publisher Hindawi

Specialty Medical Informatics

Date 2017 May 20

PMID 28523074

Citations 4

Authors

Kengo Atomi

Haruki Kawanaka

Md Shoaib Bhuiyan

Koji Oguri

Affiliations

Soon will be listed here.

Abstract

Measuring blood pressure continuously helps monitor health and also prevent lifestyle related diseases to extend the expectancy of healthy life. Blood pressure, which is nowadays used for monitoring patient, is one of the most useful indexes for prevention of lifestyle related diseases such as hypertension. However, continuously monitoring the blood pressure is unrealistic because of discomfort caused by the tightening of a cuff belt. We have earlier researched the data-oriented blood pressure estimation without using a cuff. Remarkably, our blood pressure estimation method only uses a photoplethysmograph sensor. Therefore, the application is flexible for sensor locations and measuring situations. In this paper, we describe the implementation of our estimation method, the launch of a cloud system which can collect and manage blood pressure data measured by a wristwatch-type photoplethysmograph sensor, and the construction of our applications to visualize life-log data including the time-series data of blood pressure.

Citing Articles

Cuffless Blood Pressure Estimation Based on Monte Carlo Simulation Using Photoplethysmography Signals.

Haque C, Kwon T, Kim K Sensors (Basel). 2022; 22(3).

PMID: 35161920 PMC: 8838459. DOI: 10.3390/s22031175.

Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring.

Hosanee M, Chan G, Welykholowa K, Cooper R, Kyriacou P, Zheng D J Clin Med. 2020; 9(3).

PMID: 32155976 PMC: 7141397. DOI: 10.3390/jcm9030723.

Hypertension Assessment Using Photoplethysmography: A Risk Stratification Approach.

Liang Y, Chen Z, Ward R, Elgendi M J Clin Med. 2018; 8(1).

PMID: 30577637 PMC: 6352119. DOI: 10.3390/jcm8010012.

Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.

Khalid S, Zhang J, Chen F, Zheng D J Healthc Eng. 2018; 2018:1548647.

PMID: 30425819 PMC: 6218731. DOI: 10.1155/2018/1548647.

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