Video-Based Analyses of Parkinson's Disease Severity: A Brief Review.

Journal: Journal of Parkinson's disease
Published Date: Jan 1, 2021

Abstract

Remote and objective assessment of the motor symptoms of Parkinson's disease is an area of great interest particularly since the COVID-19 crisis emerged. In this paper, we focus on a) the challenges of assessing motor severity via videos and b) the use of emerging video-based Artificial Intelligence (AI)/Machine Learning techniques to quantitate human movement and its potential utility in assessing motor severity in patients with Parkinson's disease. While we conclude that video-based assessment may be an accessible and useful way of monitoring motor severity of Parkinson's disease, the potential of video-based AI to diagnose and quantify disease severity in the clinical context is dependent on research with large, diverse samples, and further validation using carefully considered performance standards.

Authors

  • Krista G Sibley
    Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK.
  • Christine Girges
    Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK.
  • Ehsan Hoque
    University of Rochester, Rochester Human-Computer Interaction Group, Rochester, New York, USA.
  • Thomas Foltynie
    Department of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London, UK.

Keywords

External Resources

Popular Topics
Recent Journals