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arXiv · 1711.04036

Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning

Daniel Lopez-Martinez·Ognjen Rudovic·Rosalind Picard
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Abstract

Pain is a subjective experience commonly measured through patient's self report. While there exist numerous situations in which automatic pain estimation methods may be preferred, inter-subject variability in physiological and behavioral pain responses has hindered the development of such methods. In this work, we address this problem by introducing a novel personalized multitask machine learning method for pain estimation based on individual physiological and behavioral pain response profiles, and show its advantages in a dataset containing multimodal responses to nociceptive heat pain.

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Daniel Lopez-Martinez, Ognjen Rudovic, Rosalind Picard. 2017-11-10. Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning. https://arxiv.org/abs/1711.04036

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