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 …

Sensor technologies to manage the physiological traits of chronic pain: a review

D Naranjo-Hernández, J Reina-Tosina, LM Roa - Sensors, 2020 - mdpi.com
Non-oncologic chronic pain is a common high-morbidity impairment worldwide and
acknowledged as a condition with significant incidence on quality of life. Pain intensity is …

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 …

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 …

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 …

Methods for person-centered continuous pain intensity assessment from bio-physiological channels

M Kächele, P Thiam, M Amirian… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
In this work, we present methods for the personalization of a system for the continuous
estimation of pain intensity from bio-physiological channels. We investigate various ways to …

Feature extraction and selection for pain recognition using peripheral physiological signals

E Campbell, A Phinyomark, E Scheme - Frontiers in neuroscience, 2019 - frontiersin.org
In pattern recognition, the selection of appropriate features is paramount to both the
performance and the robustness of the system. Over-reliance on machine learning-based …

Occluded facial pain assessment in the ICU using action units guided network

X Yuan, Z Cui, D Xu, S Zhang, C Zhao… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Untreated pain in critically ill patients can lead to immunosuppression and increased
metabolic activity, with severe clinical consequences such as tachypnea and delirium …

Automated Electrodermal activity and facial expression analysis for continuous pain intensity monitoring on the X-ITE pain database

E Othman, P Werner, F Saxen, A Al-Hamadi, S Gruss… - Life, 2023 - mdpi.com
This study focuses on improving healthcare quality by introducing an automated system that
continuously monitors patient pain intensity. The system analyzes the Electrodermal Activity …

Preliminary study: quantification of chronic pain from physiological data

Z Cheng, F Ly, T Santander, E Turki, Y Zhao, J Yoo… - Pain …, 2022 - journals.lww.com
Objectives: To investigate the extent to which chronic pain can be quantified with
physiological sensors. Methods: Data were collected from chronic pain sufferers who …