Authors:
Cong-Cong Zhou
1
;
Jing-Yi Wang
1
;
Li-Ping Qin
2
and
Xue-Song Ye
1
;
3
Affiliations:
1
College of Biomedical Engineering and Instrument Science, Biosensor National Special Laboratory, Zhejiang University, Hangzhou 310027, P.R. China
;
2
Zhejiang Institute of Medical Device Testing, Hangzhou, China
;
3
State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310027, P.R. China
Keyword(s):
Photoplethysmography, Motion Artifact, Health Monitor, Pulse Wave Monitoring Platform (PWMP).
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 Index
2 (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.
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