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Automated Nociceptive Pain Assessment Using Physiological Signals and a Hybrid Deep Learning Network

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References

2018Using Deep Convolutional Neural Network for Emotion Detection on a Physiological Signals Dataset (AMIGOS)289 cited
2013The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system288 cited
2013Learning deep physiological models of affect287 cited
2019Automatic Recognition Methods Supporting Pain Assessment: A Survey242 cited
2017Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine162 cited
2017Multi-task neural networks for personalized pain recognition from physiological signals96 cited
2019Exploring Deep Physiological Models for Nociceptive Pain Recognition94 cited
2017Physiological Signal-Based Method for Measurement of Pain Intensity91 cited

Cited by

2021Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective69 cited
2023Transformer encoder with multiscale deep learning for pain classification using physiological signals52 cited

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