Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks

HIGHLIGHTS

• who: Benjamin Filtjens from the Department of Mechanical Engineering, Intelligent Mobile Platforms have published the research work: Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks, in the Journal: (JOURNAL)
• what: This study proposes to reformulate the problem of FOG annotation as an action segmentation problem. For the model validation, the entirety of dataset 1 was used, i.e .
• how: To meet this clinical need this paper proposes an automated motion-capture-based FOG assessment method driven by a novel deep neural network . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.