Deep learning of Parkinson's movement from video, without human-defined measures.

Journal: Journal of the neurological sciences
Published Date: Jun 10, 2024

Abstract

BACKGROUND: The core clinical sign of Parkinson's disease (PD) is bradykinesia, for which a standard test is finger tapping: the clinician observes a person repetitively tap finger and thumb together. That requires an expert eye, a scarce resource, and even experts show variability and inaccuracy. Existing applications of technology to finger tapping reduce the tapping signal to one-dimensional measures, with researcher-defined features derived from those measures.

Authors

  • Jiacheng Yang
    School of Computing, University of Leeds, UK.
  • Stefan Williams
    Leeds Institute of Health Science, University of Leeds Leeds UK.
  • David C Hogg
    School of Computing, University of Leeds, UK.
  • Jane E Alty
    Department of Neurology Leeds Teaching Hospitals National Health Service (NHS) Trust Leeds UK.
  • Samuel D Relton
    Leeds Institute of Health Science, University of Leeds Leeds UK.

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