A Device Based on Adaptive Filtering Algorithm for detecting ECG Signal in Motion Artifacts
Liangguang Peng, Tong Bai, Yu Pang, Guoquan Li, Zhangyong Li
Available Online April 2018.
- https://doi.org/10.2991/bbbs-18.2018.6How to use a DOI?
- Detection device, three axis acceleration sensor, adaptive filter, heat rate
- 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
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/bbbs-18.2018.6 ID - Peng2018/04 ER -