Motion Artifact Removal Techniques for Wearable Blood Pressure Measurement Device

Man Xu

doi:10.34297/ajbsr.2021.13.001911

Abstract

With the development of mobile health technology, vital signs monitoring equipment based on wearable sensors is becoming a research focus. One of the key points of wearable vital signs detection technology is the removal of motion artifacts. Blood pressure is one important human physiological parameter, closely related to patients with hypertension, can be used as an important parameter to diagnose and prevent cardiovascular diseases. To improve the accuracy of the measurement of blood pressure by removing motion artifacts and then promote the wearable blood pressure measurement technology is very important. This article reviews the understanding of motion artifacts, motion artifact removal technology, and its research progress.

Highlights

According to the World Health Organization (WHO), cardiovascular diseases (CVDs) are the leading cause of death globally
It is estimated that the number of CVDs will continue to increase rapidly in the decade, so the control and management of CVDs are of great significance
The main factors affecting daily physiological monitoring are environmental interference, electromagnetic interference and motion artifacts [3]. Environmental interference such as ambient light and electromagnetic interference can be passed through simple Bandpass filtering is removed, but in general, the frequency band of the motion artifact signal overlaps the frequency band of the patient’s pulse wave measured by the received light sensor [4], so it cannot be removed by simple filtering

Summary

Introduction

According to the World Health Organization (WHO), cardiovascular diseases (CVDs) are the leading cause of death globally. With the development of the Internet of Things technology, various physiological parameter monitoring devices based on wearable sensors are gradually becoming a research focus. The main factors affecting daily physiological monitoring are environmental interference, electromagnetic interference and motion artifacts [3].

Results

Conclusion