Automatic recognition methods supporting pain assessment: A survey

P Werner, D Lopez-Martinez, S Walter… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …

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 …

Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective

P Thiam, H Hihn, DA Braun, HA Kestler… - Frontiers in …, 2021 - frontiersin.org
Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

P Thiam, V Kessler, M Amirian… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The subjective nature of pain makes it a very challenging phenomenon to assess. Most of
the current pain assessment approaches rely on an individual's ability to recognise and …

Multi-modal signals for analyzing pain responses to thermal and electrical stimuli

S Gruss, M Geiger, P Werner, O Wilhelm… - JoVE (Journal of …, 2019 - jove.com
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 …

Two-stream attention network for pain recognition from video sequences

P Thiam, HA Kestler, F Schwenker - Sensors, 2020 - mdpi.com
Several approaches have been proposed for the analysis of pain-related facial expressions.
These approaches range from common classification architectures based on a set of …

Multi-classifier-systems: architectures, algorithms and applications

P Bellmann, P Thiam, F Schwenker - Computational Intelligence for Pattern …, 2018 - Springer
In this work multi-classifier-systems (MCS) are discussed. Several fixed and trainable
aggregation rules are presented. The most famous examples of MCS, namely bagging and …

Facial expression analysis using decomposed multiscale spatiotemporal networks

WC De Melo, E Granger, MB Lopez - Expert Systems with Applications, 2024 - Elsevier
Video-based analysis of facial expressions has been increasingly applied to infer health
states of individuals, such as depression and pain. Among the existing approaches, deep …

Multi-modal data fusion for pain intensity assessment and classification

P Thiam, F Schwenker - 2017 Seventh International …, 2017 - ieeexplore.ieee.org
In this work, an assessment of several fusion architectures is undertaken within the scope of
the development of a pain intensity classification system. The assessment is based on the …

Assessing pain research: a narrative review of emerging pain methods, their technosocial implications, and opportunities for multidisciplinary approaches

SE Berger, AT Baria - Frontiers in Pain Research, 2022 - frontiersin.org
Pain research traverses many disciplines and methodologies. Yet, despite our
understanding and field-wide acceptance of the multifactorial essence of pain as a sensory …