Blood pressure estimation system using human body communication-based electrocardiograph and photoplethysmography

Healthc Technol Lett. 2020 Jun 23;7(4):98-102. doi: 10.1049/htl.2019.0105. eCollection 2020 Aug.

Abstract

In order to realise low-load cuffless and continuous blood pressure measurement in daily life, the authors developed a blood pressure estimation system combining human body communication-based wearable electrocardiograph and reflectance photoplethysmography. The principle is based on a relationship between the pulse arrive time and the systolic blood pressure. The pulse arrive time is the time period between the R-wave in electrocardiograph and peak of pulse wave. The greatest feature is the use of a human body communication-based electrocardiograph which can provide automatic synchronisation in time between the measured electrocardiograph and pulse wave signals to obtain the pulse arrive time so that no additional synchronisation circuit is required. Using this system, the authors measured the pulse arrive time from the electrocardiograph and pulse wave signals in real time, estimated the systolic blood pressure and compared the result with that measured by a cuff sphygmomanometer. The authors found that the root mean square error of the estimated blood pressure and the actual value measured using the cuff sphygmomanometer was 4.5 mmHg or less, and the correlation coefficient was >0.6 with a P value much <0.05. These results show the validity of the developed system for cuffless and continuous blood pressure estimation.

Keywords: R-wave; automatic synchronisation; blood; blood pressure estimation system; blood pressure measurement; continuous blood pressure estimation; continuous blood pressure measurement; correlation coefficient; cuffless blood pressure estimation; electrocardiography; human body communication-based wearable electrocardiograph; low-load cuffless blood pressure measurement; measured electrocardiograph; medical signal processing; photoplethysmography; pulse arrive time; pulse wave signals; reflectance photoplethysmography; root mean square error; synchronisation; systolic blood pressure; time period.