International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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The Periodic Moving Average Filter for Removing Motion Artifacts from PPG Signals

  • Lee, Han-Wook (Department of Electronic Engineering, Gyeongsang National University) ;
  • Lee, Ju-Won (Department of Electronic Engineering, Gyeongsang National University) ;
  • Jung, Won-Geun (Department of Electronic & Communication, Nam-hae College) ;
  • Lee, Gun-Ki (Department of Electronic Engineering, Gyeongsang National University)
  • Published : 2007.12.31
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Abstract

The measurement accuracy for heart rate or $SpO_2$ using photoplethysmography (PPG) is influenced by how well the noise from motion artifacts and other sources can be removed. Eliminating the motion artifacts is particularly difficult since its frequency band overlaps that of the basic PPG signal. Therefore, we propose the Periodic Moving Average Filter (PMAF) to remove motion artifacts. The PMAF is based on the quasi-periodicity of the PPG signals. After segmenting the PPG signal on periodic boundaries, we average the $m^{th}$ samples of each period. As a result, we remove the motion artifacts well without the deterioration of the characteristic point.

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