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

Kengo Atomi,Md Shoaib Bhuiyan,Koji Oguri,Haruki Kawanaka

doi:10.1155/2017/1803485

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.

Highlights

Holter electrocardiogram and SpO2 measurement are available as a monitoring method in daily life
The cuffless blood pressure (BP) estimation method generally uses pulse transit time (PTT) and pulse wave (PW) features extracted from the PPG
BP calibration that decides the initial value for BP variability is done beforehand by measuring with a cuff because it cannot estimate the absolute value of the blood pressure

Summary

Introduction

Holter electrocardiogram and SpO2 measurement are available as a monitoring method in daily life. Method of blood pressure estimation from biomedical signals without cuff is being studied. Chen et al measured BP and pulse wave by noninvasive method [6] They estimated BP based on PTT obtained from photoplethysmograph (PPG) and ECG. Espina et al put the electrocardiogram sensor on the waist and the PPG sensor on the ear and calculated the PTT [9] They aimed to monitor blood pressure for a long time by acquiring and analyzing data using wireless communication. We propose a cuffless BP estimation method using a wristwatch-type PPG sensor to realize the continuous BP monitoring. We constructed applications that can visualize life-log data toward user clients and to the medical staff

Blood Pressure Estimation from PPG

Construction of Cloud System for Monitoring

Accuracy Verification of BP Estimation

Accuracy Verification of BPV Estimation

Findings

Conclusion