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 …
[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 …
optimal pain management interventions focused on reducing suffering and preventing the …
Enhanced deep learning algorithm development to detect pain intensity from facial expression images
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 …
that show a patient's health, remains a significant challenge in the medical diagnostics and …
RGB-T image analysis technology and application: A survey
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 …
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
The current practice for assessing neonatal postoperative pain relies on bedside caregivers.
This practice is subjective, inconsistent, slow, and discontinuous. To develop a reliable …
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 …
high variability in patient reported pain scores and perception of pain by different individuals …
Ensemble neural network approach detecting pain intensity from facial expressions
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 …
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
Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …
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
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 …
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
Automatic pain recognition from facial expressions is a challenging problem that has
attracted a significant attention from the research community. This article provides a …
attracted a significant attention from the research community. This article provides a …