[HTML][HTML] Automatic assessment of pain based on deep learning methods: A systematic review
Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …
optimal pain management interventions focused on reducing suffering and preventing the …
Electrodermal activity in pain assessment and its clinical applications
Electrodermal activity (EDA) measures skin conductivity, reflecting sweat gland activity, and
is considered a noninvasive measure of the sympathetic nervous system (SNS) …
is considered a noninvasive measure of the sympathetic nervous system (SNS) …
A machine learning framework for automated accident detection based on multimodal sensors in cars
Identifying accident patterns is one of the most vital research foci of driving analysis.
Environmental or safety applications and the growing area of fleet management all benefit …
Environmental or safety applications and the growing area of fleet management all benefit …
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 …
results for various applications in the past few years. Pain recognition is one of them, as …
Design and evaluation of deep learning models for continuous acute pain detection based on phasic electrodermal activity
The current method for assessing pain in clinical practice is subjective and relies on self-
reported scales. An objective and accurate method of pain assessment is needed for …
reported scales. An objective and accurate method of pain assessment is needed for …
Classification of roads and types of public roads using EOG smart glasses and an algorithm based on machine learning while driving a car
Driving a car is an activity that became necessary for exploration, even when living in the
present world. Research exploring the topic of safety on the roads has therefore become …
present world. Research exploring the topic of safety on the roads has therefore become …
Objective measurement of subjective pain perception with autonomic body reactions in healthy subjects and chronic back pain patients: an experimental heat pain …
Multiple attempts to quantify pain objectively using single measures of physiological body
responses have been performed in the past, but the variability across participants reduces …
responses have been performed in the past, but the variability across participants reduces …
Unraveling the physiological and psychosocial signatures of pain by machine learning
Background Pain is a complex subjective experience, strongly impacting health and quality
of life. Despite many attempts to find effective solutions, present treatments are generic, often …
of life. Despite many attempts to find effective solutions, present treatments are generic, often …
[HTML][HTML] Physiological responses to pain in cancer patients: A systematic review
Background and objective Pain is one of the most debilitating symptoms in persons with
cancer. Still, its assessment is often neglected both by patients and healthcare …
cancer. Still, its assessment is often neglected both by patients and healthcare …
Transformer encoder with multiscale deep learning for pain classification using physiological signals
Pain, a pervasive global health concern, affects a large segment of population worldwide.
Accurate pain assessment remains a challenge due to the limitations of conventional self …
Accurate pain assessment remains a challenge due to the limitations of conventional self …