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

Williams, S, Fang, H, Relton, SD, Graham, CD and Alty, JE ORCID: 0000-0002-5456-8676 2020 , 'Seeing the unseen: could Eulerian video magnification aid clinician detection of subclinical Parkinson’s tremor?' , Journal of Clinical Neuroscience, vol. 81 , pp. 101-104 , doi: 10.1016/j.jocn.2020.09.046.

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Abstract

IntroductionEulerian 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.MethodWe 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.ResultsThe 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 ConclusionEulerian 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.

Item Type: Article
Authors/Creators:Williams, S and Fang, H and Relton, SD and Graham, CD and Alty, JE
Keywords: tremor, computer vision, smartphone, artificial intelligence
Journal or Publication Title: Journal of Clinical Neuroscience
Publisher: Churchill Livingstone
ISSN: 0967-5868
DOI / ID Number: 10.1016/j.jocn.2020.09.046
Copyright Information:

Copyright 2020 Elsevier Ltd. All rights reserved.

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