AIMC Topic: Pain Measurement

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Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.

Sensors (Basel, Switzerland) Apr 14, 2023
Critically ill patients often lack cognitive or communicative functions, making it challenging to assess their pain levels using self-reporting mechanisms. There is an urgent need for an accurate system that can assess pain levels without relying on ...
Humans Neural Networks, Computer Pain Heart Rate Blood Volume Algorithms Pain Measurement
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The Clinical Suitability of an Artificial Intelligence-Enabled Pain Assessment Tool for Use in Infants: Feasibility and Usability Evaluation Study.

Journal of medical Internet research Feb 13, 2023
BACKGROUND: Infants are unable to self-report their pain, which, therefore, often goes underrecognized and undertreated. Adequate assessment of pain, including procedural pain, which has short- and long-term consequences, is critical for its manageme...
Pain Pain, Procedural Humans Pain Measurement Feasibility Studies Artificial Intelligence Infant
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Automatic assessment of pain based on deep learning methods: A systematic review.

Computer methods and programs in biomedicine Feb 8, 2023
BACKGROUND AND OBJECTIVE: The automatic assessment of pain is vital in designing optimal pain management interventions focused on reducing suffering and preventing the functional decline of patients. In recent years, there has been a surge in the ado...
Algorithms Pain Databases, Factual Deep Learning Humans Pain Measurement
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Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal.

Sensors (Basel, Switzerland) Oct 22, 2022
Automatic pain intensity assessment from physiological signals has become an appealing approach, but it remains a largely unexplored research topic. Most studies have used machine learning approaches built on carefully designed features based on the ...
Humans Neural Networks, Computer Pain Measurement Pain Machine Learning Algorithms
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An Automatic System for Continuous Pain Intensity Monitoring Based on Analyzing Data from Uni-, Bi-, and Multi-Modality.

Sensors (Basel, Switzerland) Jul 1, 2022
Pain is a reliable indicator of health issues; it affects patients' quality of life when not well managed. The current methods in the clinical application undergo biases and errors; moreover, such methods do not facilitate continuous pain monitoring....
Pain Electrocardiography Pain Measurement Neural Networks, Computer Quality of Life Humans
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Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations.

Sensors (Basel, Switzerland) Apr 13, 2022
With the development of robot technology, robot utilization is expanding in industrial fields and everyday life. To employ robots in various fields wherein humans and robots share the same space, human safety must be guaranteed in the event of a huma...
Industry Pain Threshold Pain Measurement Pain Male Robotics Humans
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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 Humans Machine Learning Pain Measurement Pain Galvanic Skin Response 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.
Injections Facial Pain Humans Mouth Anesthesia, Dental Pain Measurement Child
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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...
Neural Networks, Computer Pain Measurement Electroencephalography Humans Attention
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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...
Placebo Effect Placebos Healthy Volunteers Lidocaine, Prilocaine Drug Combination Pain Reference Values Adult Humans Male Randomized Controlled Trials as Topic Machine Learning Female Pain Measurement Treatment Outcome Young Adult Analgesics Cluster Analysis
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