Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors

• URL: http://arxiv.org/abs/2407.19475v1
• Date: Sun, 28 Jul 2024 11:57:50 GMT
• Title: Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors
• Authors: Stefanos Gkikas, Chariklia Chatzaki, Manolis Tsiknakis,
• Abstract summary: We elaborate electrocardiography signals revealing the existence of variations in pain perception among different demographic groups. We introduce a novel multi-task neural network for automatic pain estimation utilizing the age and the gender information of each individual.
• Score: 0.8602553195689511
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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