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 …
Automatic detection of pain from facial expressions: a survey
T Hassan, D Seuß, J Wollenberg… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Pain sensation is essential for survival, since it draws attention to physical threat to the body.
Pain assessment is usually done through self-reports. However, self-assessment of pain is …
Pain assessment is usually done through self-reports. However, self-assessment of pain is …
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 …
treatment. However, today's pain assessment methods are not sufficiently valid and reliable …
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 …
challenges. While self-report by the patient is viewed as the gold standard of pain …
A review of automated pain assessment in infants: features, classification tasks, and databases
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 …
behavioral and physiological signs of pain. This standard has two main limitations. The first …
Acute pain intensity monitoring with the classification of multiple physiological parameters
Current acute pain intensity assessment tools are mainly based on self-reporting by patients,
which is impractical for non-communicative, sedated or critically ill patients. In previous …
which is impractical for non-communicative, sedated or critically ill patients. In previous …
Personalized and adaptive neural networks for pain detection from multi-modal physiological features
Pain assessment is essential for pain diagnosis and treatment. Automating the assessment
process from pain behaviors could be an alternative to self-report; however, inter-subject …
process from pain behaviors could be an alternative to self-report; however, inter-subject …
Using AI to detect pain through facial expressions: a review
Pain assessment is a complex task largely dependent on the patient's self-report. Artificial
intelligence (AI) has emerged as a promising tool for automating and objectifying pain …
intelligence (AI) has emerged as a promising tool for automating and objectifying pain …
Adaptive confidence learning for the personalization of pain intensity estimation systems
In this work, a method is presented for the continuous estimation of pain intensity based on
fusion of bio-physiological and video features. Furthermore, a method is proposed for the …
fusion of bio-physiological and video features. Furthermore, a method is proposed for the …
Multi-modal signals for analyzing pain responses to thermal and electrical stimuli
The assessment of pain relies mostly on methods that require a person to communicate.
However, for people with cognitive and verbal impairments, existing methods are not …
However, for people with cognitive and verbal impairments, existing methods are not …