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Camera-based photoplethysmography in an intraoperative setting.

Alexander Trumpp1, Johannes Lohr2, Daniel Wedekind3

  • 1Institute of Biomedical Engineering, TU Dresden, Fetscherstraße 29, 01307, Dresden, Germany. alexander.trumpp@tu-dresden.de.

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A new method enables camera-based photoplethysmography (cbPPG) for remote vital sign monitoring during surgery. This technique reliably extracts heart rates from video, proving cbPPG

Keywords:
Camera-based photoplethysmographyIntraoperative monitoringLevel set methodsRemote monitoringSpatial homogeneity

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Physiological Monitoring

Background:

  • Camera-based photoplethysmography (cbPPG) enables remote vital sign monitoring using cameras.
  • Accurate plethysmograms require proper region of interest (ROI) selection.
  • Existing automated ROI methods have limitations in broader applications.

Purpose of the Study:

  • To present a novel method for automated ROI selection in cbPPG.
  • To overcome limitations of existing methods for wider applicability.
  • To enable cbPPG in challenging intraoperative environments.

Main Methods:

  • Recorded 41 patients during surgery using RGB and near-infrared (NIR) cameras.
  • Employed a Bayesian skin classifier for suitable region detection.
  • Utilized level set segmentation for defining and tracking ROIs based on spatial homogeneity.

Main Results:

  • Achieved stable and homogeneously illuminated ROIs.
  • Green channel data yielded correct heart rate estimations in 95.6% of cases.
  • NIR channel data significantly improved the compensation of false estimations.

Conclusions:

  • The proposed method demonstrates the applicability of cbPPG in intraoperative settings.
  • The technique is transferable to various body sites and other environments.
  • cbPPG offers a viable non-invasive monitoring solution in surgical contexts.