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