AIMC Topic: Pain Measurement

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Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning.

IEEE transactions on bio-medical engineering Dec 23, 2021
Pain assessment in children continues to challenge clinicians and researchers, as subjective experiences of pain require inference through observable behaviors, both involuntary and deliberate. The presented approach supplements the subjective self-r...
Child Pain Measurement Pain Galvanic Skin Response Humans Machine Learning Algorithms
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Effectiveness of Pre-administered Natural Sweet-tasting Solution for Decreasing Pain Associated with Dental Injections in Children: A Split-mouth Randomized Controlled Trial.

The journal of contemporary dental practice Dec 1, 2021
AIM: This study aimed to discern if a prior intake of a natural sweet remedy (honey) impacted pain perception during intraoral injections.
Mouth Pain Measurement Injections Anesthesia, Dental Humans Child Facial Pain
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Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment.

Neuroscience Nov 26, 2021
Electroencephalogram (EEG)-based quantitative pain measurement is valuable in the field of clinical pain treatment, providing objective pain intensity assessment especially for nonverbal patients who are unable to self-report. At present, a key chall...
Pain Measurement Electroencephalography Attention Humans Neural Networks, Computer
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Cutoff criteria for the placebo response: a cluster and machine learning analysis of placebo analgesia.

Scientific reports Sep 28, 2021
Computations of placebo effects are essential in randomized controlled trials (RCTs) for separating the specific effects of treatments from unspecific effects associated with the therapeutic intervention. Thus, the identification of placebo responder...
Humans Machine Learning Female Placebos Pain Measurement Analgesics Pain Lidocaine, Prilocaine Drug Combination Placebo Effect Reference Values Healthy Volunteers Treatment Outcome Cluster Analysis Randomized Controlled Trials as Topic Young Adult Adult Male
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Machine learning-based approach for disease severity classification of carpal tunnel syndrome.

Scientific reports Aug 31, 2021
Identifying the severity of carpal tunnel syndrome (CTS) is essential to providing appropriate therapeutic interventions. We developed and validated machine-learning (ML) models for classifying CTS severity. Here, 1037 CTS hands with 11 variables eac...
Middle Aged Severity of Illness Index Body Mass Index Electrodiagnosis Carpal Tunnel Syndrome Pain Measurement Neural Conduction Retrospective Studies Female Male Humans Machine Learning
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Predicting postoperative pain following root canal treatment by using artificial neural network evaluation.

Scientific reports Aug 26, 2021
This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root canal treatment (RCT). The BP neural network model was developed using MATLAB 7.0 neural network toolb...
Feasibility Studies Root Canal Therapy Adult Sensitivity and Specificity Male Middle Aged Pain Measurement Pain, Postoperative Female Reproducibility of Results Young Adult Humans Neural Networks, Computer Prognosis
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Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data.

The journal of pain Aug 21, 2021
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroencephalogram (EEG) data demonstrate promising results. The primary aim of this review was to evaluate the effectiveness of ML algorithms for predicting pai...
Machine Learning Algorithms Phenotype Humans Pain Treatment Outcome Pain Measurement Electroencephalography
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Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition.

Sensors (Basel, Switzerland) Jul 15, 2021
While even the most common definition of pain is under debate, pain assessment has remained the same for decades. But the paramount importance of precise pain management for successful healthcare has encouraged initiatives to improve the way pain is ...
Humans Pain Measurement Pain Machine Learning Databases, Factual Hot Temperature
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Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.

American journal of physiology. Regulatory, integrative and comparative physiology Jun 16, 2021
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 of the adult population in the United States. The current gold standard to quantify pain is highly subjective, based upon self-reporting with numerica...
Electrodiagnosis Pain Perception Sympathetic Nervous System Pain Threshold Galvanic Skin Response Feasibility Studies Pain Hot Temperature Female Reproducibility of Results Young Adult Humans Machine Learning Predictive Value of Tests Pain Measurement Signal Processing, Computer-Assisted Skin Adult Male Severity of Illness Index
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Automatic vs. Human Recognition of Pain Intensity from Facial Expression on the X-ITE Pain Database.

Sensors (Basel, Switzerland) May 10, 2021
Prior work on automated methods demonstrated that it is possible to recognize pain intensity from frontal faces in videos, while there is an assumption that humans are very adept at this task compared to machines. In this paper, we investigate whethe...
Facial Expression Humans Neural Networks, Computer Databases, Factual Pain Measurement Pain
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