Skin conductance deconvolution for pain estimation

Citation:

Lopez-Martinez D, Picard R. Skin conductance deconvolution for pain estimation, in Biomedical and Health Informatics (BHI). Las Vegas, USA ; 2018.

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.