Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition
Artificial intelligence and especially deep learning methods have achieved outstanding results for various applications in the past few years. Pain recognition is one of them, as various models have been proposed to replace the previous gold standard with an automated and objective assessment. While...
Main Authors: | Philip Gouverneur, Frédéric Li, Kimiaki Shirahama, Luisa Luebke, Wacław M. Adamczyk, Tibor M. Szikszay, Kerstin Luedtke, Marcin Grzegorzek |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/4/1959 |
Similar Items
-
Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition
by: Philip Gouverneur, et al.
Published: (2021-07-01) -
Objective Measurement of Subjective Pain Perception with Autonomic Body Reactions in Healthy Subjects and Chronic Back Pain Patients: An Experimental Heat Pain Study
by: Luisa Luebke, et al.
Published: (2023-10-01) -
Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review
by: Ravichandra Madanu, et al.
Published: (2022-06-01) -
Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor
by: Youngsun Kong, et al.
Published: (2021-06-01) -
Influences of Neck and/or Wrist Pain on Hand Grip Strength of Industrial Quality Proofing Workers
by: Bettina Wollesen, et al.
Published: (2020-12-01)