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Study on the Detection the Section with the Motion Artifacts of the PPG Signal
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 Title & Authors
Study on the Detection the Section with the Motion Artifacts of the PPG Signal
Lee, Hanwook; Lee, Gunki;
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 Abstract
The biomedical information (heart rate, HRV, etc) from the Photoplethysmography (PPG) signal section can be estimated without the motion artifacts if the PPG signal section in the motion artifacts is detected accurately. But the PPG signal is easily exposed to the motion artifacts by the decrease of the medical instrument size and applying as portable or wearable. Besides, it is difficult to completely eliminate the motion artifacts from the PPG signal without distortion and ensure reliability as well. In this paper, the method was suggested to determine the motion artifacts or not on the PPG signal of the section divided into intervals of constant length. By comparing the spectrum of each section, it can be determined whether the motion artifacts are or not after obtaining the spectrum of each section by the Goertzel algorithm. Moreover, an amount of computation while maintaining a high detection rate can be reduced by using the Goertzel algorithm.
 Keywords
Photoplethysmography (PPG);Goertzel algorithm;Motion artifacts;
 Language
Korean
 Cited by
 References
1.
J. Allen, "Photoplethysmography and its application in clinical physiological measurement", Physiological measurement, vol. 28, no. 3, pp. R1-R39, 2007. crossref(new window)

2.
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. crossref(new window)

3.
B.A. Shapiro, W.T. Peruzzi, and R. Templin, Clinical Application of Blood Gases, 5th ed., vol. 64, Mosby, St. Louis, MO, USA, 1994.

4.
M. Raghu Ram, K. Venu Madhav, E. Hari Krishna, Nagarjuna Reddy Komalla, and K. Ashoka Reddy "A Novel Approach for Motion Artifact Reduction in PPG Signals Based on AS-LMS Adaptive Filter", IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 61, no. 5, MAY 2012.

5.
Seyedtabaii S, Seyedtabaii L, "Kalman filter based adaptive reduction of motion artifact from photoplethysmographic signal", Internal J of Electronics, Circuits and systems, 2008.

6.
B.S. Kim and S.K. Yoo, "Motion artifact reduction in photoplethysmography using independent component analysis", IEEE Transactions on Biomedical Engineering, vol. 53, Issue 3, March 2006.

7.
H. Lee, J. Lee, W. Jung, G. Lee, "The periodic moving average filter for removing motion artifact from PPG signals", International J of Control, Automation and Systems, vol. 5, no. 6, 2007.

8.
H.J. Park, D.K. Sim, J.S. Ryu. Digital signal processing. Paju Korea: Life & Power Press. 2009, pp. 252-254.

9.
Z. Xiaopeng, Z. Shaochun, P. Zhigeng, Y. Ruwei, Enterainment for Education. Digital Techniques and Systems, 1st ed., July 2010, pp. 238.

10.
J.M. cho, Y.K. Sung, K.W. Shin, D.J. Jung, Y.S. Kim, N.H. Kim, "A preliminary Study on Photoplethysmogram (PPG) Signal Analysis for reduction of Motion Artifact in Frequency Domain", IEEE EMBS International conference on biomedical Engineering and Sciences, 17th-19th December 2012.

11.
Kevin Banks, "The Goertzel Algorithm", Embedded Systems Programming, Aug., 2002.

12.
J.Y. Lee, "The potion artifacts reduction from the PPG based on EWMA", The Journal of Digital Policy & Management, Aug., 2013.

13.
H. Lee, H. Seo, W. Jeong, D. Jang, G. Lee, "Detection the biomedical information using the piezo film sensor", KIIECT, vol. 3, no. 3, 2010.