Automatic recognition methods supporting pain assessment: A survey

P Werner, D Lopez-Martinez, S Walter… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …

A systematic review of neurophysiological sensing for the assessment of acute pain

R Fernandez Rojas, N Brown, G Waddington… - NPJ digital …, 2023 - nature.com
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 …

Joint multimodal transformer for emotion recognition in the wild

P Waligora, MH Aslam, MO Zeeshan… - Proceedings of the …, 2024 - openaccess.thecvf.com
Multimodal emotion recognition (MMER) systems typically outperform unimodal systems by
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

F Pouromran, S Radhakrishnan, S Kamarthi - Plos one, 2021 - journals.plos.org
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 …

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 …

Multi-task neural networks for personalized pain recognition from physiological signals

D Lopez-Martinez, R Picard - 2017 Seventh International …, 2017 - ieeexplore.ieee.org
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 …

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 …

Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective

P Thiam, H Hihn, DA Braun, HA Kestler… - Frontiers in …, 2021 - frontiersin.org
Traditional pain assessment approaches ranging from self-reporting methods, to
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

F Pouromran, Y Lin, S Kamarthi - Sensors, 2022 - mdpi.com
Automatic pain intensity assessment from physiological signals has become an appealing
approach, but it remains a largely unexplored research topic. Most studies have used …

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

P Thiam, V Kessler, M Amirian… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
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 …