• Deutsch
Login

Open Access

  • Home
  • Search
  • Browse
  • Publish
  • FAQ

Refine

Author

  • Uelschen, Michael (1) (remove)

1 search hit

  • 1 to 1
  • BibTeX
  • CSV
  • RIS
  • 10
  • 20
  • 50
  • 100
Robust and Reliable Gait Recognition in Neurological Clinical Practice (2019)
Eikerling, Heinz-Josef ; Uelschen, Michael
We describe an automated approach, to easily track patients regaining their walking ability while recovering from neurological diseases like e.g. stroke. Based on captured gait data and objective measures derived out of it the rehabilitation process can be optimized and thus steered. In order to apply such system in clinical practice two key requirements have to be fulfilled: (i) the system needs to be applicable in terms of ease of use and performance; (ii) the derived measures need to be accurate.
  • 1 to 1
  • Contact
  • Imprint
  • Sitelinks