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Seeing the unseen: could Eulerian video magnification aid clinician detection of subclinical Parkinsonís tremor?

Citation

Williams, S and Fang, H and Relton, SD and Graham, CD and Alty, JE, Seeing the unseen: could Eulerian video magnification aid clinician detection of subclinical Parkinson's tremor?, Journal of Clinical Neuroscience, 81 pp. 101-104. ISSN 0967-5868 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 Elsevier Ltd. All rights reserved.

DOI: doi:10.1016/j.jocn.2020.09.046

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 Parkinsonís 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 Parkinsonís 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 Parkinsonís 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 Parkinsonís (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 Details

Item Type:Refereed Article
Keywords:tremor, computer vision, smartphone, artificial intelligence
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Computer vision
Objective Division:Health
Objective Group:Evaluation of health and support services
Objective Field:Telehealth
UTAS Author:Alty, JE (Associate Professor Jane Alty)
ID Code:144167
Year Published:2020
Web of Science® Times Cited:1
Deposited By:Wicking Dementia Research and Education Centre
Deposited On:2021-04-27
Last Modified:2022-08-23
Downloads:0

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