Login / Signup

Accuracy of a computer vision system for estimating biomechanical measures of body function in axial spondyloarthropathy patients and healthy subjects.

Neil J CroninMaedeh MansoubiErin HanninkBenjamin WallerHelen Dawes
Published in: Clinical rehabilitation (2023)
We present a computer vision approach that estimates distances and angles from clinical movements recorded with a phone or webcam. In the future, this approach could be used to monitor functional capacity and support physical therapy management remotely.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • deep learning
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • machine learning