Skin Conductance Deconvolution for Pain Estimation

Daniel Lopez Martinez1, Rosalind Picard2

  • 1Harvard-MIT Division of Health Sciences and Technology
  • 2Massachusetts Institute of Technology

Details

18:15 - 20:15 | Mon 5 Mar | Caribbean ABC | MoPO.57

Session: Poster Session # 1 and BSN Innovative Health Technology Demonstrations

Abstract

Pain is usually measured by patient's self-report. While self-report is viewed as the gold standard of pain assessment, this approach fails when patients cannot communicate pain intensity or lack normal mental abilities. Here, we present a method for the automatic estimation of pain intensity from skin conductance data, and test it in a dataset containing physiological responses to nociceptive heat pain.