Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective
Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …
observational scales, rely on the ability of an individual to accurately assess and …
Physiological Time-series Fusion with Hybrid Attention for Adaptive Recognition of Pain
M Jiang, Y Li, J He, Y Yang, H **e… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Automatic pain assessment is an application in healthcare serving personalized pain care,
and patients cannot self-report pain. Pain at the present is inferred from physiological …
and patients cannot self-report pain. Pain at the present is inferred from physiological …
Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database
In this work, we investigate the human's adaptation and habituation to thermal and electric
pain stimuli, focusing on the differences between female and male subjects. We evaluate …
pain stimuli, focusing on the differences between female and male subjects. We evaluate …
Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation
In this study, we analyze the pain detection transfer learning task from short-term (phasic)
training stimuli to long-term (tonic) test stimuli, based on the X-ITE Pain Database, which …
training stimuli to long-term (tonic) test stimuli, based on the X-ITE Pain Database, which …
Introducing bidirectional ordinal classifier cascades based on a pain intensity recognition scenario
Ordinal classifier cascades (OCCs) are popular machine learning tools in the area of ordinal
classification. OCCs constitute specific classification ensemble schemes that work in …
classification. OCCs constitute specific classification ensemble schemes that work in …
Automated pain assessment: Is it useful to combine person-specific data samples?
Many classification tasks, from the field of automated pain assessment, include a special
type of human-centred data sets. Often, the data is organised in person-specific data …
type of human-centred data sets. Often, the data is organised in person-specific data …
Pain Detection in Biophysiological Signals: Knowledge Transfer from Short-Term to Long-Term Stimuli Based on Distance-Specific Segment Selection
In this study, we analyze a signal segmentation-specific pain duration transfer task by
applying knowledge transfer from short-term (phasic) pain stimuli to long-term (tonic) pain …
applying knowledge transfer from short-term (phasic) pain stimuli to long-term (tonic) pain …