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논문KCI 등재

PPG 신호의 동잡음 구간 검출에 관한 연구

Study on the Detection the Section with the Motion Artifacts of the PPG Signal

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초록

The biomedical information (heart rate, HRV, SpO2 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.

Abstract

The biomedical information (heart rate, HRV, SpO2 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.

참고문헌 (13)

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  3. B.A. Shapiro, "Clinical Application of Blood Gases vol. 64" (1994), Mosby
  4. M. Raghu Ram, "A Novel Approach for Motion Artifact Reduction in PPG Signals Based on AS-LMS Adaptive Filter", IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 61(5) (2012)
  5. Seyedtabaii S, "Kalman filter based adaptive reduction of motion artifact from photoplethysmographic signal", Internal J of Electronics, Circuits and systems (2008)
  6. B.S. Kim, "Motion artifact reduction in photoplethysmography using independent component analysis", IEEE Transactions on Biomedical Engineering, 53(3) (2006)
  7. 이한욱, "The Periodic Moving Average Filter for Removing Motion Artifacts from PPG Signals", International Journal of Control, Automation, and Systems, 5(6), pp.701~706 (2007), 제어·로봇·시스템학회
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  10. J.M. cho, "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 (2012)
  11. Kevin Banks, "The Goertzel Algorithm", Embedded Systems Programming, ~ (2002)
  12. 이준연, "지수가중 이동평균 기반의 PPG 신호 동잡음 제거", 디지털융복합연구, 11(8), pp.183~190 (2013), 한국디지털정책학회
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