Working groups

Section Medical Psychology

Projects

Multimodal automated pain detection
Project description

The objective assessment of subjectively experienced multidimensional pain is a problem that has not yet been adequately solved(https://www.youtube.com/watch?v=JuWHpMR2a9Y). Especially in clinical pain measurement, verbal methods (pain scales, questionnaires) and visual analogue scales are common, but these are not very reliable and valid in mentally impaired people. Expressive expressions of pain and/or psychobiological parameters can offer a solution. Such coding systems exist, but they involve a great deal of effort or have not been sufficiently evaluated in terms of test theory. Test subjects are exposed to painful stimuli under controlled conditions and mimic and psychobiological parameters are recorded(http://www.iikt.ovgu.de/BioVid.html). Based on psychobiological, video-based (facial expressions, gestures) and prosodic data, pain-relevant characteristics are to be identified and an automatic system developed with which pain can be measured qualitatively and quantitatively(https://www.jove.com/t/59057?language=German).

Partner

  • Eberhard Barth, Clinic for Anaesthesiology and Intensive Care Medicine, Ulm University Hospital

  • Ayoub Al-Hamadi & Philipp Werner, IIKT, University of Magdeburg

  • Oliver Wilhelm and Mattis Geiger, Differential Psychology and Psychological Diagnostics, University of Ulm

  • Adriano Andrade, Biomedical Engineering Laboratory (BioLab), Federal University of Uberlandia, Brazil

  • Friedhelm Schwenker, Institute for Neuroinformatics, University of Ulm

  • Magrit-Ann Geibel, Oral and Maxillofacial Surgery, Ulm University Hospital

Project coordination
Profilbild von Dr. Sascha Gruss

Dr. Sascha Gruss

Kontakt
Runtime

2012 - 2020

2019
  • Frisch S, Gündel H, Jerg-Bretzke L, Walter S: Fibromyalgiesyndrom: erhebliche Schmerzreduktion nach Wohnungswechsel an einen „sicheren Ort. Schmerz, 33: 329-332 (2019)
  • Gruss S, Geiger M, Werner P, Wilhelm O, Traue H C, Al-Hamadi A, Walter S: Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli. Journal of Visualized Experiments, (2019)
  • Lima F M, Walter S, Traue H C, Pereira A A, Vieira M F, Gruss S, Andrade A d O: Original article. Research on Biomedical Engineering, (2019)
  • Werner P, Al-Hamadi A, Gruss S, Walter S: 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). Twofold-Multimodal Pain Recognition with the X-ITE Pain Database, IEEE S. 290-296, (Sep 2019)
  • Werner P, Lopez-Martinez D, Walter S, Al-Hamadi A, Gruss S, Picard R: Automatic Recognition Methods Supporting Pain Assessment: A Survey. T-AFFC, 1 (2019)