Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors
Artificial Intelligence
2024-07-30 v1 Computer Vision and Pattern Recognition
Abstract
Pain is a complex phenomenon which is manifested and expressed by patients in various forms. The immediate and objective recognition of it is a great of importance in order to attain a reliable and unbiased healthcare system. In this work, we elaborate electrocardiography signals revealing the existence of variations in pain perception among different demographic groups. We exploit this insight by introducing a novel multi-task neural network for automatic pain estimation utilizing the age and the gender information of each individual, and show its advantages compared to other approaches.
Cite
@article{arxiv.2407.19475,
title = {Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors},
author = {Stefanos Gkikas and Chariklia Chatzaki and Manolis Tsiknakis},
journal= {arXiv preprint arXiv:2407.19475},
year = {2024}
}