Seeing the unseen: could Eulerian video magnification aid clinician detection of subclinical Parkinson's tremor?

Stefan Williams*, Hui Fang, Samuel D. Relton, Christopher D. Graham, Jane E. Alty

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
16 Downloads (Pure)

Abstract

Introduction: Eulerian magnification amplifies very small movements in video, revealing otherwise invisible motion. This raises the possibility that it could enable clinician visualisation of subclinical tremor using a standard camera. We tested whether Eulerian magnification of apparently atremulous hands reveals a Parkinsonian tremor more frequently in Parkinson's than in controls.
Method: We applied Eulerian magnification to smartphone video of 48 hands that appeared atremulous during recording (22 hands from 11 control participants, 26 hands from 17 idiopathic Parkinson's participants). Videos were rated for Parkinsonian tremor appearance (yes/no) before and after Eulerian magnification by three movement disorder specialist neurologists.
Results: The proportion of hands correctly classified as Parkinsonian or not by clinicians was significantly higher after Eulerian magnification (OR = 2.67; CI = [1.39, 5.17]; p < 0.003). Parkinsonian-appearance tremors were seen after magnification in a number of control hands, but the proportion was greater in the Parkinson's hands.
Conclusion: Eulerian magnification slightly improves clinician ability to identify apparently atremulous hands as Parkinsonian. This suggests that some of the apparent tremor revealed may be subclinical Parkinson's (pathological) tremor, and Eulerian magnification may represent a first step towards contactless visualisation of such tremor. However, the technique also reveals apparent tremor in control hands. Therefore, our method needs additional elaboration and would not be of direct clinical use in its current iteration.
Original languageEnglish
Pages (from-to)101-104
Number of pages4
JournalJournal of Clinical Neuroscience
Volume81
Early online date2 Oct 2020
DOIs
Publication statusPublished - 30 Nov 2020

Keywords

  • artificial intelligence
  • clinical features
  • computer vision
  • Eulerian magnification
  • Parkinsonism
  • tremor

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