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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
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Reducing motion artifacts in photoplethysmograms by using relative sensor motion: phantom study.

Ralph W C G R Wijshoff1, Massimo Mischi, Jeroen Veen

  • 1Eindhoven University of Technology, Department of Electrical Engineering, Signal Processing Systems, Den Dolech 2, 5612 AZ Eindhoven, the Netherlands. R.W.C.G.R.Wijshoff@tue.nl

Journal of Biomedical Optics
|November 30, 2012
PubMed
Summary
This summary is machine-generated.

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Researchers developed a new method to reduce motion artifacts in photoplethysmograms (PPGs). This technique improves the accuracy of PPG signals, enabling better analysis of cardiovascular status beyond just pulse rate and blood oxygenation.

Area of Science:

  • Biomedical Engineering
  • Optical Sensing
  • Cardiovascular Monitoring

Background:

  • Photoplethysmograms (PPGs) are primarily used for pulse rate and blood oxygenation.
  • PPG waveform morphology contains valuable cardiovascular status information.
  • Motion artifacts significantly distort PPG data, limiting its diagnostic potential.

Purpose of the Study:

  • To investigate the correlation between sensor-tissue motion and PPG motion artifacts.
  • To develop and validate a method for reducing optical motion artifacts in PPG signals.
  • To enhance the reliability of PPG for cardiovascular assessment.

Main Methods:

  • In vitro PPGs were measured using a skin perfusion phantom and a laser diode.
  • Optical motion artifacts were induced by translating the laser diode relative to the photodiode.

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  • A normalized least-mean-square algorithm utilizing laser displacement (measured via self-mixing interferometry) was employed to reduce artifacts.

    • Main Results:

    • A significant reduction in optical motion artifacts was achieved in vitro.
    • The proposed algorithm effectively used laser displacement as a reference for artifact correction.
    • Self-mixing interferometry accurately measured laser displacement for integration into commercial sensors.

    Conclusions:

    • Motion artifacts in PPGs are significantly influenced by sensor-to-skin movement.
    • A novel algorithm effectively mitigates motion artifacts in PPGs using laser displacement.
    • This approach holds promise for improving the accuracy and utility of PPG-based cardiovascular monitoring.