Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gouverneur, Philip, Li, Frédéric, Shirahama, Kimiaki, Luebke, Luisa, Adamczyk, Wacław M., Szikszay, Tibor M., Luedtke, Kerstin, Grzegorzek, Marcin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960387/ https://www.ncbi.nlm.nih.gov/pubmed/36850556 http://dx.doi.org/10.3390/s23041959

Ejemplares similares

Objective Measurement of Subjective Pain Perception with Autonomic Body Reactions in Healthy Subjects and Chronic Back Pain Patients: An Experimental Heat Pain Study
por: Luebke, Luisa, et al.
Publicado: (2023)

Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition
por: Gouverneur, Philip, et al.
Publicado: (2021)

Pain inhibition is not affected by exercise-induced pain
por: Szikszay, Tibor M., et al.
Publicado: (2020)

Comment on Castien et al. (2018) pressure pain thresholds over the cranio-cervical region in headache - a systematic review and meta-analysis
por: Luedtke, Kerstin, et al.
Publicado: (2018)

Not as “blurred” as expected? Acuity and spatial summation in the pain system
por: Adamczyk, Wacław M., et al.
Publicado: (2021)

Psychological mechanisms of offset analgesia: The effect of expectancy manipulation
por: Szikszay, Tibor M., et al.
Publicado: (2023)

Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition
por: Nisar, Muhammad Adeel, et al.
Publicado: (2020)

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
por: Li, Frédéric, et al.
Publicado: (2018)

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors
por: Nisar, Muhammad Adeel, et al.
Publicado: (2023)

Hands-On Explainable AI (XAI) with Python
por: Rothman, Denis
Publicado: (2020)

Explainable automated pain recognition in cats
por: Feighelstein, Marcelo, et al.
Publicado: (2023)

Effects of stimulation area and temperature rates on offset analgesia
por: Szikszay, Tibor M., et al.
Publicado: (2022)

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification
por: Li, Frédéric, et al.
Publicado: (2020)

XAI-FR: Explainable AI-Based Face Recognition Using Deep Neural Networks
por: Rajpal, Ankit, et al.
Publicado: (2022)

Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics
por: Bifarin, Olatomiwa O., et al.
Publicado: (2023)

Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
por: Lombardi, Angela, et al.
Publicado: (2021)

Beauty is in the explainable artificial intelligence (XAI) of the “agnostic” beholder
por: Laios, Alexandros, et al.
Publicado: (2023)

Automated Electrodermal Activity and Facial Expression Analysis for Continuous Pain Intensity Monitoring on the X-ITE Pain Database
por: Othman, Ehsan, et al.
Publicado: (2023)

Electrodermal Activity Responses for Quantitative Assessment of Felt Pain
por: Bari, Dindar S., et al.
Publicado: (2018)

Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI)
por: Matin, Sahar S., et al.
Publicado: (2021)

Framework for Classifying Explainable Artificial Intelligence (XAI) Algorithms in Clinical Medicine
por: Gniadek, Thomas, et al.
Publicado: (2023)

Pain rewarded: hyperalgesic and allodynic effect of operant conditioning in healthy humans—protocol for a systematic review and meta-analysis
por: Adamczyk, Wacław M., et al.
Publicado: (2018)

Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI)
por: Meas, Molika, et al.
Publicado: (2022)

Upper cervical two-point discrimination thresholds in migraine patients and headache-free controls
por: Luedtke, Kerstin, et al.
Publicado: (2018)

Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI)
por: Dindorf, Carlo, et al.
Publicado: (2021)

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation
por: Huang, Xinyu, et al.
Publicado: (2023)

Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI)
por: Abdollahi, Abolfazl, et al.
Publicado: (2021)

Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
por: de Vries, Bart M., et al.
Publicado: (2023)

Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification
por: Ghnemat, Rawan, et al.
Publicado: (2023)

A Survey on Medical Explainable AI (XAI): Recent Progress, Explainability Approach, Human Interaction and Scoring System
por: Sheu, Ruey-Kai, et al.
Publicado: (2022)

Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe
por: Cilli, Roberto, et al.
Publicado: (2022)

Combining Electrodermal Activity With the Peak-Pain Time to Quantify Three Temporal Regions of Pain Experience
por: Bhatkar, Viprali, et al.
Publicado: (2022)

Emotion Recognition With Knowledge Graph Based on Electrodermal Activity
por: Perry Fordson, Hayford, et al.
Publicado: (2022)

Automated recognition of pain in cats
por: Feighelstein, Marcelo, et al.
Publicado: (2022)

Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study
por: Aqajari, Seyed Amir Hossein, et al.
Publicado: (2021)

Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research
por: Roessner, Veit, et al.
Publicado: (2021)

Ensuring Explainability and Dimensionality Reduction in a Multidimensional HSI World for Early XAI-Diagnostics of Plant Stress
por: Lysov, Maxim, et al.
Publicado: (2023)

XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI
por: Das, Surajit, et al.
Publicado: (2023)

Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures
por: O’Sullivan, S., et al.
Publicado: (2022)

Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique
por: Adak, Anirban, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_hcv6te8hmqo3ai189dmushfg5r