AIMC Topic: Pain

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Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Pain is usually measured by patient's self-report, which requires patient collaboration. Hence, the development of an objective automatic pain detection method would be useful in many clinical applications and patient populations. Previous studies ha...

Automated Pain Assessment using Electrodermal Activity Data and Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Objective pain assessment is required for appropriate pain management in the clinical setting. However, clinical gold standard pain assessment is based on subjective methods. Automated pain detection from physiological data may provide important obje...

Machine-learned analysis of the association of next-generation sequencing-based human TRPV1 and TRPA1 genotypes with the sensitivity to heat stimuli and topically applied capsaicin.

Pain
Heat pain and its modulation by capsaicin varies among subjects in experimental and clinical settings. A plausible cause is a genetic component, of which TRPV1 ion channels, by their response to both heat and capsaicin, are primary candidates. Howeve...

Design and Implementation of a Robotic Software for the Assessment of Pain in Children.

Studies in health technology and informatics
Pain in child population is presented as a vital process which produces a variation in capacities and needs of care. That pain has an impact on the child's develpoment and therefore on his self-care agency acquisition. That is why the care provided t...

[A sketch of the overlap in the neural circuitry underlying psychological- and physical-pain].

Sheng li xue bao : [Acta physiologica Sinica]
From the phenomenological point of view, pain can be classified into psychological-pain and physical-pain. Emerging evidence has shown that the psychological- and physical-pain recruit overlapping neural activity in regions associated with the affect...

Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

British journal of anaesthesia
BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk is a clinical need. Supervised machine-learning techniques were used to test how accurately the patients' performance in a preoperatively performed ton...

A connectionist modeling study of the neural mechanisms underlying pain's ability to reorient attention.

Cognitive, affective & behavioral neuroscience
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability to shift attention away from another stimulus modality and toward itself. Different connectionist model architectures were used to simulate the differe...

Acquisition and extinction of operant pain-related avoidance behavior using a 3 degrees-of-freedom robotic arm.

Pain
Ample empirical evidence endorses the role of associative learning in pain-related fear acquisition. Nevertheless, research typically focused on self-reported and psychophysiological measures of fear. Avoidance, which is overt behavior preventing the...

Radial artery blood gas sampling: a randomized controlled trial of lidocaine local anesthesia.

Journal of evidence-based medicine
BACKGROUND: Radial artery puncture is a common procedure and yet the role of local anesthesia for reducing the pain of this procedure continues to be debated. Clinical practice is variable and there is potential for substantial financial savings. Thi...