ECG Circuit: Analyzation and Application

Wenjun Ge, Junyang Sui, Pinzhang Wu

2021

Abstract

Cardiovascular disease has become the most common cause of death worldwide. According to the 2013 Global Burden of Disease Study, cardiovascular diseases are estimated to cause 17.3 million deaths worldwide. As the primary technique for monitoring the heart’s activity, the ECG plays an irreplaceable role in the management of heart disease. Currently, there are two main types of devices used to measure ECGs. One is the larger devices used in hospitals, such as medical ECG machines, and the other is smaller devices for home use, mainly wearable devices such as the Samsung Galaxy Watch and Apple Watch. Compared to traditional devices used in hospitals, wearable devices offer the advantages of small size, low energy consumption and portability. In the future, lower noise, greater noise immunity, lower energy consumption and higher ECG accuracy are necessary for developing wearable devices in the field. However, there are still many difficulties at present. For example, as smart wearables need to minimize the device’s size, the power supply circuitry is also somewhat limited, and the device’s battery life becomes a major issue. This review introduces the application of ECG monitoring devices on wearable devices, introduces different wearable ECG devices, and analyzes the performance of wearable ECG devices, points out the gap between current wearable ECG and large medical ECG monitoring devices, analyses the causes of wearable ECG noise generation, and proposes to reduce wearable ECG from electrodes, circuitry and other aspects monitoring and improve the monitoring accuracy. Finally, the review summarizes the gap between wearable ECG and medical-grade ECG monitoring devices, predicts the future challenges of wearable ECG, and expresses an outlook on the future of wearable ECG devices.

Paper Citation

in Harvard Style

Ge W., Sui J. and Wu P. (2021). ECG Circuit: Analyzation and Application. In Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH, ISBN 978-989-758-594-4, pages 283-290. DOI: 10.5220/0011367500003444

in Bibtex Style

@conference{caih21,
author={Wenjun Ge and Junyang Sui and Pinzhang Wu},
title={ECG Circuit: Analyzation and Application},
booktitle={Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,},
year={2021},
pages={283-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011367500003444},
isbn={978-989-758-594-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Conference on Artificial Intelligence and Healthcare - Volume 1: CAIH,
TI - ECG Circuit: Analyzation and Application
SN - 978-989-758-594-4
AU - Ge W.
AU - Sui J.
AU - Wu P.
PY - 2021
SP - 283
EP - 290
DO - 10.5220/0011367500003444