Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for parkinson’s disease: a proof of concept study

HIGHLIGHTS

  • who: Sunderland Baker and collaborators from the Technology:, INDIA have published the research work: Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinsonu2019s disease: A proof of concept study, in the Journal: PLOS ONE of 16/09/2022
  • what: The aim of this study was to improve the objectivity and automation of motor assessment in the operating room during motor mapping. The authors aimed to build a classifier to differentiate movements using the kinematic data derived from DLC in the OR.
  • how . . .

     

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