USING PHOTOPLETHYSMOGRAPHY IMAGING FOR OBJECTIVE CONTACTLESS PAIN ASSESSMENT

Authors

  • Marcus Koeny Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen University, Pauwelsstrasse 20, 52074 Aachen
  • Nikolai Blanik Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen University, Pauwelsstrasse 20, 52074 Aachen
  • Xinchi Yu Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen University, Pauwelsstrasse 20, 52074 Aachen
  • Michael Czaplik Department of Anesthesiology, University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen
  • Marian Walter Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen University, Pauwelsstrasse 20, 52074 Aachen
  • Rolf Rossaint Department of Anesthesiology, University Hospital Aachen, Pauwelsstrasse 30, 52074 Aachen
  • Vladimir Blazek Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen University, Pauwelsstrasse 20, 52074 Aachen
  • Steffen Leonhardt Chair for Medical Information Technology, Helmholtz-Institute, RWTH Aachen University, Pauwelsstrasse 20, 52074 Aachen

DOI:

https://doi.org/10.14311/AP.2014.54.0275

Abstract

This work presents an extension to the known Analgesia Nociception Index (ANI), which provides an objective estimation of the current depth of analgesia. An adequate “measure” would facilitate so-called balanced anesthesia. Generally, ANI is computed using heart rate variability or rather beat-to-beat intervals based on an electrocardiogram (ECG). There are clinical situations where no ECG monitoring is available or required, but only photoplethysmography (PPG), e.g., in some cases in postoperative care or pain therapy. In addition, a combination of PPG and ECG for obtaining beat-to-beat intervals may lead to increased robustness and reliability for dealing with artifacts. This work therefore investigates the computation of ANI using standard PPG. In addition, new methods and opportunities are presented using contactless PPG imaging (PPGI). PPGI®enables contactless PPG recordings for deriving beat-to-beat intervals as well as analysis of local perfusion and wounds.

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Published

2014-08-31

Issue

Vol. 54 No. 4 (2014)

Section

Articles

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How to Cite

Koeny, M., Blanik, N., Yu, X., Czaplik, M., Walter, M., Rossaint, R., Blazek, V., & Leonhardt, S. (2014). USING PHOTOPLETHYSMOGRAPHY IMAGING FOR OBJECTIVE CONTACTLESS PAIN ASSESSMENT. Acta Polytechnica, 54(4), 275-280. https://doi.org/10.14311/AP.2014.54.0275