Model Design and System Implementation for the Study of Anti-motion Artifacts Detection in Pulse Wave Monitoring

Cong-Cong Zhou, Jing-Yi Wang, Li-Ping Qin, Xue-Song Ye, Xue-Song Ye

2020

Abstract

Photoplethysmography (PPG) is a widely used technology for health monitor based on pulse wave measurement by monitoring the blood volume of blood vessels via electro-optic technique. As a kind of non-electrophysiological signal with low amplitude and low frequency, PPG signal may be easily disturbed by motion artifact. This paper proposes a simulation method based on a new reflection model which includes a skin-friendly flexible substrate with a narrow-band full-reflection film plating on it and an embedded system accordingly to study anti-motion artifacts detection in pulse wave monitoring. Monte-Carlo method is presented to simulate the dynamic human skin model and the results demonstrate the effectiveness of the proposed model. A wrist worn artifact-resistive pulse wave monitoring platform (PWMP) is presented accordingly, the measurement accuracy of pulse rate by the platform is within ±2 beats per minute(bpm) at the range of 30bpm to 240bpm compared with the output of Fluke Index2 (produced by Fluke Corp, USA) in stationary situation. Three kinds of typical postures are performed to verify the proposed model experimentally, results show that the proposed platform has good correlation as compared to PC-60B Medical Pulse Oximeter from Heal Force in the measurement of pulse rate, and the pearson correlation coefficient is 0.953(p<0.01), which reveals that the proposed model has the potential to recover pulse wave signal for pulse rate monitoring.

Paper Citation

in Harvard Style

Zhou C., Wang J., Qin L. and Ye X. (2020). Model Design and System Implementation for the Study of Anti-motion Artifacts Detection in Pulse Wave Monitoring. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 1: BIODEVICES; ISBN 978-989-758-398-8, SciTePress, pages 102-109. DOI: 10.5220/0008943201020109

in Bibtex Style

@conference{biodevices20,
author={Cong-Cong Zhou and Jing-Yi Wang and Li-Ping Qin and Xue-Song Ye},
title={Model Design and System Implementation for the Study of Anti-motion Artifacts Detection in Pulse Wave Monitoring},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 1: BIODEVICES},
year={2020},
pages={102-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008943201020109},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 1: BIODEVICES
TI - Model Design and System Implementation for the Study of Anti-motion Artifacts Detection in Pulse Wave Monitoring
SN - 978-989-758-398-8
AU - Zhou C.
AU - Wang J.
AU - Qin L.
AU - Ye X.
PY - 2020
SP - 102
EP - 109
DO - 10.5220/0008943201020109
PB - SciTePress