Projekt

Reliably evaluating walking and grasping movements of patients is essential for the diagnosis and therapy of movement disorders, for example after a stroke or in Parkinson's syndromes. However, the success of this challenging diagnostic procedure depends to a large extent on the experience and skills of the attending physician. This is where the "Deep Movement Diagnostics" project comes in. The team wants to use approaches from machine learning and robotics to improve the objective assessment of movement patterns. In addition to diagnostics, the research team wants to investigate complex movement sequences in healthy volunteers and monkeys in order to better understand the neurophysiological basics of movement disorders.

• Prof. Dr. Alexander Gail

  Deutsches Primatenzentrum GmbH
  Leibniz-Institut für Primatenforschung
  Bernstein Center for Computational Neuroscience
  Göttingen
  

• Prof. Dr. Mathias Bähr

  Universitätsmedizin Göttingen
  Georg August Universität
  Fachbereich Neurologie
  Abt. Neurologie
  Göttingen
  

• Prof. Dr. Florentin Wörgötter

  Universität Göttingen
  Fakultät für Physik
  III. Physikalisches Institut - Biophysik
  Arbeitsgruppe Computational Neuroscience
  Göttingen
  

• Prof. Dr. Melanie Wilke

  Universitätsmedizin Göttingen
  Georg August Universität
  Department of Cognitive Neurology
  Göttingen
  

• Prof. Dr. Hansjörg Scherberger

  Deutsches Primatenzentrum GmbH
  Leibniz-Institut für Primatenforschung
  Neurobiology Laboratory
  Göttingen