@conference {601131, title = {Skin conductance deconvolution for pain estimation}, booktitle = {Biomedical and Health Informatics (BHI)}, year = {2018}, address = {Las Vegas, USA}, abstract = {Pain is usually measured by patient{\textquoteright}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.}, author = {Lopez-Martinez, Daniel and Picard, Rosalind} }