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Transformer encoder with multiscale deep learning for pain classification using physiological signals

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References

2013The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system288 cited
2019Automatic Recognition Methods Supporting Pain Assessment: A Survey242 cited
2014Automatic Pain Recognition from Video and Biomedical Signals169 cited
2017Multi-task neural networks for personalized pain recognition from physiological signals96 cited
2021Exploration of physiological sensors, features, and machine learning models for pain intensity estimation95 cited
2019Exploring Deep Physiological Models for Nociceptive Pain Recognition94 cited
2020Automated Nociceptive Pain Assessment Using Physiological Signals and a Hybrid Deep Learning Network70 cited
2019Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals58 cited
2023Analysis of pain research literature through keyword Co-occurrence networks30 cited

Cited by

2025A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion37 cited
2024Joint Multimodal Transformer for Emotion Recognition in the Wild34 cited

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