A Device Based on Adaptive Filtering Algorithm for detecting ECG Signal in Motion Artifacts

DOI

10.2991/bbbs-18.2018.6How to use a DOI?

Keywords

Detection device, three axis acceleration sensor, adaptive filter, heat rate

Abstract

Since the detection of electrocardiogram (ECG) is significant for monitoring the stress and diseases of Policeman and current methods for monitoring ECG in motion have drawback of low accuracy, a system for monitoring ECG signal is presented within this paper. The conductive silica gel is used as the collecting electrode, and a low-power-consumption device for detecting ECG signal have been designed. The movement of human body is sensed by the three axis acceleration sensor, and variable step-size least mean square adaptive algorithm is proposed by using acceleration signal as reference signal. Through adaptive filter and real-time examining R waves of the ECG signal, heart rate is measured in the movement of human body. The results indicates that detection device can output real-time ECG signal and the maximum error of heart rate is within 4%, thus real-time performance and high accuracy of monitoring ECG signal is implemented

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liangguang Peng
AU  - Tong Bai
AU  - Yu Pang
AU  - Guoquan Li
AU  - Zhangyong Li
PY  - 2018/04
DA  - 2018/04
TI  - A Device Based on Adaptive Filtering Algorithm for detecting ECG Signal in Motion Artifacts
BT  - Proceedings of the 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018)
PB  - Atlantis Press
SP  - 23
EP  - 28
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbbs-18.2018.6
DO  - 10.2991/bbbs-18.2018.6
ID  - Peng2018/04
ER  -