Abstract

This article presents the devising, development, prototyping and assessment of a wearable arm-ECG sensor system (WAMECG1) for long-term non-invasive heart rhythm monitoring, and functionalities for acquiring, storing, visualizing and transmitting high-quality far-field electrocardiographic signals. The system integrates the main building blocks present in a typical ECG monitoring device such as the skin surface electrodes, front-end amplifiers, analog and digital signal conditioning filters, flash memory and wireless communication capability. These are integrated into a comfortable, easy to wear, and ergonomically designed arm-band ECG sensor system which can acquire a bipolar ECG signal from the upper arm of the user over a period of 72 h. The small-amplitude bipolar arm-ECG signal is sensed by a reusable, long-lasting, Ag–AgCl based dry electrode pair, then digitized using a programmable sampling rate in the range of 125 to 500 Hz and transmitted via Wi-Fi. The prototype comparative performance assessment results showed a cross-correlation value of 99.7% and an error of less than 0.75% when compared to a reference high-resolution medical-grade ECG system. Also, the quality of the recorded far-field bipolar arm-ECG signal was validated in a pilot trial with volunteer subjects from within the research team, by wearing the prototype device while: (a) resting in a chair; and (b) doing minor physical activities. The R-peak detection average sensibilities were 99.66% and 94.64%, while the positive predictive values achieved 99.1% and 92.68%, respectively. Without using any additional algorithm for signal enhancement, the average signal-to-noise ratio (SNR) values were 21.71 and 18.25 for physical activity conditions (a) and (b) respectively. Therefore, the performance assessment results suggest that the wearable arm-band prototype device is a suitable, self-contained, unobtrusive platform for comfortable cardiac electrical activity and heart rhythm logging and monitoring.

Highlights

  • Despite the overall decrease in cardiovascular mortality in recent decades, sudden cardiac death, usually caused by lethal arrhythmias, accounts for 50% of heart disease-related deaths and occurs among patients never diagnosed or previously classified as at low cardiovascular risk [1].Different paroxysmal arrhythmias only manifest sporadic symptoms requiring long-term cardiac monitoring for correct diagnosis [2]

  • The total number of manually counted R-peaks was 3104, while the system detected 3163 (a false R-peak physical activity to a low level, as requested (TP is the number of true R-peaks detected)

  • Discussion and Conclusions physical activity to a low level, as requested (TP is the number of true R-peaks detected)

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Summary

Introduction

Despite the overall decrease in cardiovascular mortality in recent decades, sudden cardiac death, usually caused by lethal arrhythmias, accounts for 50% of heart disease-related deaths and occurs among patients never diagnosed or previously classified as at low cardiovascular risk [1]. Different paroxysmal arrhythmias only manifest sporadic symptoms requiring long-term cardiac monitoring for correct diagnosis [2]. In such cases, implantable loop recorders (ILRs) are currently becoming more common and are considered as an important tool by clinicians; their use requires costly surgical procedures and carries infection risks [3]. A variety of experimental wearable smart devices have been developed for ECG monitoring; they include T-shirts or vests [7,8], belts [9,10], adhesive patches [11,12]

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