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Automatic recognition methods supporting pain assessment: A survey
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …
poorly understood, especially in infants, anesthetized patients, and others who cannot …
A systematic review of neurophysiological sensing for the assessment of acute pain
Pain is a complex and personal experience that presents diverse measurement challenges.
Different sensing technologies can be used as a surrogate measure of pain to overcome …
Different sensing technologies can be used as a surrogate measure of pain to overcome …
Joint multimodal transformer for emotion recognition in the wild
Multimodal emotion recognition (MMER) systems typically outperform unimodal systems by
leveraging the inter and intra-modal relationships between eg visual textual physiological …
leveraging the inter and intra-modal relationships between eg visual textual physiological …
Exploration of physiological sensors, features, and machine learning models for pain intensity estimation
In current clinical settings, typically pain is measured by a patient's self-reported information.
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …
Smart health: Intelligent healthcare systems in the metaverse, artificial intelligence, and data science era
Y Yang, K Siau, W **e, Y Sun - Journal of Organizational and End …, 2022 - igi-global.com
In recent decades, healthcare organizations around the world have increasingly appreciated
the value of information technologies for a variety of applications. Three of the new …
the value of information technologies for a variety of applications. Three of the new …
Multi-task neural networks for personalized pain recognition from physiological signals
Pain is a complex and subjective experience that poses a number of measurement
challenges. While self-report by the patient is viewed as the gold standard of pain …
challenges. While self-report by the patient is viewed as the gold standard of pain …
Physiological signal-based method for measurement of pain intensity
Y Chu, X Zhao, J Han, Y Su - Frontiers in neuroscience, 2017 - frontiersin.org
The standard method for prediction of the absence and presence of pain has long been self-
report. However, for patients with major cognitive or communicative impairments, it would be …
report. However, for patients with major cognitive or communicative impairments, it would be …
Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective
Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …
observational scales, rely on the ability of an individual to accurately assess and …
[HTML][HTML] Personalized Deep Bi-LSTM RNN based model for pain intensity classification using EDA signal
Automatic pain intensity assessment from physiological signals has become an appealing
approach, but it remains a largely unexplored research topic. Most studies have used …
approach, but it remains a largely unexplored research topic. Most studies have used …
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database
The subjective nature of pain makes it a very challenging phenomenon to assess. Most of
the current pain assessment approaches rely on an individual's ability to recognise and …
the current pain assessment approaches rely on an individual's ability to recognise and …