AIMC Topic: Pain Measurement
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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...
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...
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...
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 ...
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...
Galvanic Skin Response
Electrodiagnosis
Pain Perception
Hot Temperature
Sympathetic Nervous System
Pain Threshold
Male
Severity of Illness Index
Predictive Value of Tests
Pain Measurement
Signal Processing, Computer-Assisted
Female
Reproducibility of Results
Young Adult
Adult
Humans
Machine Learning
Skin
Feasibility Studies
Pain
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...
Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study.
JMIR mHealth and uHealth
May 5, 2021
BACKGROUND: Accurate, objective pain assessment is required in the health care domain and clinical settings for appropriate pain management. Automated, objective pain detection from physiological data in patients provides valuable information to hosp...
Semi-automated tracking of pain in critical care patients using artificial intelligence: a retrospective observational study.
Scientific reports
Mar 4, 2021
Monitoring the pain intensity in critically ill patients is crucial because intense pain can cause adverse events, including poor survival rates; however, continuous pain evaluation is difficult. Vital signs have traditionally been considered ineffec...
Objective characterization of hip pain levels during walking by combining quantitative electroencephalography with machine learning.
Scientific reports
Feb 4, 2021
Pain is an undesirable sensory experience that can induce depression and limit individuals' activities of daily living, in turn negatively impacting the labor force. Affected people frequently feel pain during activity; however, pain is subjective an...
Novel Analgesic Index for Postoperative Pain Assessment Based on a Photoplethysmographic Spectrogram and Convolutional Neural Network: Observational Study.
Journal of medical Internet research
Feb 3, 2021
BACKGROUND: Although commercially available analgesic indices based on biosignal processing have been used to quantify nociception during general anesthesia, their performance is low in conscious patients. Therefore, there is a need to develop a new ...
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