Artificial intelligence for automatic pain assessment: research methods and perspectives

M Cascella, D Schiavo, A Cuomo… - Pain Research and …, 2023 - Wiley Online Library
Although proper pain evaluation is mandatory for establishing the appropriate therapy, self‐
reported pain level assessment has several limitations. Data‐driven artificial intelligence (AI) …

[HTML][HTML] EMG pattern recognition in the era of big data and deep learning

A Phinyomark, E Scheme - Big Data and Cognitive Computing, 2018 - mdpi.com
The increasing amount of data in electromyographic (EMG) signal research has greatly
increased the importance of develo** advanced data analysis and machine learning …

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 …

Machine learning in pain research

J Lötsch, A Ultsch - Pain, 2018 - journals.lww.com
Pain and pain chronification are incompletely understood and unresolved medical problems
that continue to have a high prevalence. 14 It has been accepted that pain is a complex …

Automatic pain assessment with facial activity descriptors

P Werner, A Al-Hamadi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Pain is a primary symptom in medicine, and accurate assessment is needed for proper
treatment. However, today's pain assessment methods are not sufficiently valid and reliable …

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 …

Machine learning in pain medicine: an up-to-date systematic review

M Matsangidou, A Liampas, M Pittara, CS Pattichi… - Pain and therapy, 2021 - Springer
Introduction Pain is the unpleasant sensation and emotional experience that leads to poor
quality of life for millions of people worldwide. Considering the complexity in understanding …

A review of automated pain assessment in infants: features, classification tasks, and databases

G Zamzmi, R Kasturi, D Goldgof, R Zhi… - IEEE reviews in …, 2017 - ieeexplore.ieee.org
Bedside caregivers assess infants' pain at constant intervals by observing specific
behavioral and physiological signs of pain. This standard has two main limitations. The first …

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 …