[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 …
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 …
acknowledged as a condition with significant incidence on quality of life. Pain intensity is …
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 …
Unobtrusive pain monitoring in older adults with dementia using pairwise and contrastive training
Although pain is frequent in old age, older adults are often undertreated for pain. This is
especially the case for long-term care residents with moderate to severe dementia who …
especially the case for long-term care residents with moderate to severe dementia who …
Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors
Diagnosing pain in neonates is difficult but critical. Although approximately thirty manual
pain instruments have been developed for neonatal pain diagnosis, most are complex …
pain instruments have been developed for neonatal pain diagnosis, most are complex …
A comprehensive and context-sensitive neonatal pain assessment using computer vision
Infants receiving care in the Neonatal Intensive Care Unit (NICU) experience several painful
procedures during their hospitalization. Assessing neonatal pain is difficult because the …
procedures during their hospitalization. Assessing neonatal pain is difficult because the …
Pain assessment from facial expression: Neonatal convolutional neural network (N-CNN)
The current standard for assessing neonatal pain is discontinuous and suffers from inter-
observer variations, which can result in delayed intervention and inconsistent treatment of …
observer variations, which can result in delayed intervention and inconsistent treatment of …
Multi-channel neural network for assessing neonatal pain from videos
Neonates do not have the ability to either articulate pain or communicate it non-verbally by
pointing. The current clinical standard for assessing neonatal pain is intermittent and highly …
pointing. The current clinical standard for assessing neonatal pain is intermittent and highly …
A multi-task CNN framework for driver face monitoring
One of the primary causes of road accidents is related to driver inattention or drowsiness. In
this paper we propose a vision-based Multi-Task Driver Monitoring Framework (MTDMF) …
this paper we propose a vision-based Multi-Task Driver Monitoring Framework (MTDMF) …
[PDF][PDF] Deep learning–guided postoperative pain assessment in children
Current automated pain assessment methods only focus on infants or youth. They are less
practical because the children who suffer from postoperative pain in clinical scenarios are in …
practical because the children who suffer from postoperative pain in clinical scenarios are in …