Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity
Author:
Affiliation:
1. Faculty of Engineering, Universidad Militar Nueva Granada, Bogota, Colombia
2. Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10242175/10171992.pdf?arnumber=10171992
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4. An overview of ethnic and gender differences in pain sensation;kvachadze;Georgian Medical News,2015
5. Electrodermal activity monitoring during painful stimulation in sedated adult intensive care unit patients;aslanidis;ACTA MEDICA,2018
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2. A Hybrid Pain Assessment Approach with Stacked Autoencoders and Attention-Based CP-LSTM;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02
3. Survey on Pain Detection using Machine Learning Models (Preprint);2023-09-22
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