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Automated Pain Assessment using Electrodermal Activity Data and Machine Learning

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References

2015Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines161 cited

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2021Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity51 cited
2021pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity49 cited
2024Nonlinear Signal Processing Methods for Automatic Emotion Recognition Using Electrodermal Activity47 cited
2022Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal39 cited
2023Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity38 cited

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