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http://dx.doi.org/10.5369/JSST.2016.25.1.71

Pulse Detection from PPG Signal with Motion Artifact using Independent Component Analysis and Nonlinear Auto-correlation  

Jeon, Hak-Jae (Department of Electronic Engineering, Hoseo University)
Kim, Jeong-Do (Department of Electronic Engineering, Hoseo University)
Lim, Seung-Ju (Department of Electronic Engineering, Hoseo University)
Publication Information
Journal of Sensor Science and Technology / v.25, no.1, 2016 , pp. 71-78 More about this Journal
Abstract
PPG signal measured by pulse oximeter can measure pulse and the oxygen saturation of arterial blood. But the PPG signal is distorted by finger movement or other movement in the body. To detect pulse from the PPG signal with motion artifact, we use band pass filter(BPF), Independent component analysis(ICA) and nonlinear autocorrelation(NAC). BPF is used to remove DC component and high frequency noise in the PPG signal with motion artifacts. ICA is used to separate pulse signal and motion artifact. However, pulse signal separated by ICA have no choice but to accompany signal distortion because pulse signal and motion artifact are not completely independent. So, we use nonlinear autocorrelation to emphasize the pure pulse signal from the distorted signal.
Keywords
Independent Component Analysis, ICA; Photoplethysmography, PPG; Nonlinear Autocorrelation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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