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 …

[HTML][HTML] Automatic assessment of pain based on deep learning methods: A systematic review

S Gkikas, M Tsiknakis - Computer methods and programs in biomedicine, 2023 - Elsevier
Abstract Background and Objective: The automatic assessment of pain is vital in designing
optimal pain management interventions focused on reducing suffering and preventing the …

Enhanced deep learning algorithm development to detect pain intensity from facial expression images

G Bargshady, X Zhou, RC Deo, J Soar… - Expert systems with …, 2020 - Elsevier
Automated detection of pain intensity from facial expressions, especially from face images
that show a patient's health, remains a significant challenge in the medical diagnostics and …

RGB-T image analysis technology and application: A survey

K Song, Y Zhao, L Huang, Y Yan, Q Meng - Engineering Applications of …, 2023 - Elsevier
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment

MS Salekin, G Zamzmi, D Goldgof, R Kasturi… - Computers in biology …, 2021 - Elsevier
The current practice for assessing neonatal postoperative pain relies on bedside caregivers.
This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliable …

[PDF][PDF] The analysis of pain research through the lens of artificial intelligence and machine learning

JN Nagireddi, AK Vyas, MR Sanapati… - Pain …, 2022 - painphysicianjournal.com
Background: Traditional pain assessment methods have significant limitations due to the
high variability in patient reported pain scores and perception of pain by different individuals …

Ensemble neural network approach detecting pain intensity from facial expressions

G Bargshady, X Zhou, RC Deo, J Soar… - Artificial Intelligence in …, 2020 - Elsevier
This paper reports on research to design an ensemble deep learning framework that
integrates fine-tuned, three-stream hybrid deep neural network (ie., Ensemble Deep …

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos

MJA Patwary, W Cao, XZ Wang, MA Haque - Applied Soft Computing, 2022 - Elsevier
Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space

G Bargshady, X Zhou, RC Deo, J Soar, F Whittaker… - Applied Soft …, 2020 - Elsevier
An accurate detection and management of pain, measured through its relative intensity,
plays an important role in the treatment of disease and reducing a patient's discomfort. As it …

Automatic pain estimation from facial expressions: A comparative analysis using off-the-shelf CNN architectures

S El Morabit, A Rivenq, ME Zighem, A Hadid… - Electronics, 2021 - mdpi.com
Automatic pain recognition from facial expressions is a challenging problem that has
attracted a significant attention from the research community. This article provides a …