Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors
<|reference_start|>Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors: 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.<|reference_end|>
@article{gkikas2024multi-task,
    title={Multi-task Neural Networks for Pain Intensity Estimation using
  Electrocardiogram and Demographic Factors},
    author={Stefanos Gkikas, Chariklia Chatzaki, Manolis Tsiknakis},
    journal={Information and Communication Technologies for Ageing Well and
  e-Health; 2023; 324--337},
    year={2024},
    doi={10.1007/978-3-031-37496-8_17},
    archivePrefix={arXiv},
    eprint={2407.19475},
    primaryClass={cs.AI cs.CV}
}