Strategies for Assessing Pain Using Multimodal Pain Detection
Author:
Affiliation:
1. The British University in Egypt, El-Sherouk City,Egypt. Electrical Engineering Department
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10620403/10620452/10620501.pdf?arnumber=10620501
Reference21 articles.
1. Automated Nociceptive Pain Assessment Using Physiological Signals and a Hybrid Deep Learning Network
2. Personalized and adaptive neural networks for pain detection from multi-modal physiological features
3. Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario
4. An Efficient Convolutional Neural Network for Acute Pain Recognition Using HRV Features
5. Predictive Model Building for Pain Intensity Using Machine Learning Approach
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