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Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity

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References

2019The Performance of LSTM and BiLSTM in Forecasting Time Series1,735 cited
2015cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing605 cited
2017Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification297 cited
2013The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system288 cited
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2017Multi-task neural networks for personalized pain recognition from physiological signals96 cited
2019Exploring Deep Physiological Models for Nociceptive Pain Recognition94 cited
2021Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study75 cited
2021Sensitive Physiological Indices of Pain Based on Differential Characteristics of Electrodermal Activity72 cited
2020Automated Nociceptive Pain Assessment Using Physiological Signals and a Hybrid Deep Learning Network70 cited
2021Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective69 cited
2021Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor58 cited
2018

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Automated Pain Assessment using Electrodermal Activity Data and Machine Learning

54 cited

2022Automatic motion artifact detection in electrodermal activity data using machine learning52 cited

2021Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity51 cited

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