Browse > Article
http://dx.doi.org/10.17661/jkiiect.2016.9.6.591

Removing the Motion Artifacts in the Pulse Signal Detected from the PFS Using the Quasi-periodicity  

Lee, Han-Wook (Department of Electronic Engineering, Gyeongsang National University)
Chun, Joong-Chang (Department of Electronic Engineering, Gyeongnam National University of Science and Technology)
Jeong, Won-Geun (Smart Electronics, Daegu Campus of Korea Polytechnic)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.9, no.6, 2016 , pp. 591-598 More about this Journal
Abstract
For the mobile healthcare environment, it is important to measure the exact biomedical signals in real time, and another key point is to design mobile healthcare devices with low power consumption. In this paper, we propose a method in which the piezo film sensor(PFS), having a low power characteristic, is used to measure the pulse signal synchronized with the heart rate from the radial artery. The critical issue in the bio-signal processing is the existence of the motion artifacts. To dissolve this problem, we have applied the periodic moving average filter using the quasi-periodicity of the pulse signal in addition to the conventional method of the adaptive filtering using the reference signal. Results of simulation and experiments are presented to confirm that the quasi-periodicity of the PFS signal can be used to eliminate completely the motion artifacts which still appears after the adaptive filtering.
Keywords
biomedical information; piezo film sensor; pulse; ubiquitous healthcare;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Zhilin Zhang, "Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction", IEEE Transaction On Biomedical Engineering, Vol. 62, NO. 8, pp. 1902, August, 2015.   DOI
2 J.Y. Lee, "The potion artifacts reduction from the PPG based on EWMA", The Journal of Digital Policy & Management, Aug., 2013.
3 B. S. Kim and S. K. Yoo, "Motion artifact reduction in photoplethysmography using independent component analysis", IEEE Transactions on Biomedical Engineering, Vol. 53, Issue3, March 2006.
4 J.G. Webster, Design of pulse oximeters, Taylor & Francis Group, New York, 1997.
5 Zhilin Zhang, "Photoplethysmography-based heart rate monitoring in physical activities via joint sparse spectrum reconstruction", IEEE Transactions on Biomedical Engineering, Vol. 62, No. 8, pp. 1902, August 2015.   DOI
6 Sensor Products Division, Piezo Film Sensors Technical Manual, Measurement Specialties, inc. 1999.
7 J. H. Kang, B. H. Cho, J. Lee, Y. Chee, I. Y. Kim, S. I. Kim, "A Study on Accelerometer Based Motion Artifact Reduction in Photoplethysmography Signal", Journal of Biomedical Engineering Research, vol. 30, no. 1, pp. 369-376, 2007.
8 H. Park, J. Nam, J. Lee, "Design of filter to reject motion artifacts of PPG signal using multiwave optical source", Journal of the Korea Society of Computer and Information, Vol. 19, No. 2, February 2014.
9 H. W. Lee, H. Seo, W. G. Jung, D. B. Jang, G. K. Lee, "Detection the biomedical information using the piezo film sensor", Korea Institute of Information & Electronic Communication Technology, Vol. 3, No. 3, pp. 14-21, Sep. 2010.
10 B. Lee, J. Lee, "Design of motion artifacts filter of PPG signal based on kalman filter and adaptive filter", Journal of the Korea Institute of Information and Communication Engineering, Vol. 18, No. 4, pp. 986-991, April, 2014.   DOI
11 H. W. Lee, J. W. Lee, W. G. Jung, and G. K. Lee, "The Periodic Moving Average Filter for Removing Motion Artifacts from PPG Signals", International Journal of Control, Automation, and Systems, vol. 5, no. 6, pp.701-706, 2007.