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

Copyright © 2020 Elsevier Ltd. All rights reserved..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:81

Enthalten in:

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia - 81(2020) vom: 01. Nov., Seite 101-104

Sprache:

Englisch

Beteiligte Personen:

Williams, Stefan [VerfasserIn]
Fang, Hui [VerfasserIn]
Relton, Samuel D [VerfasserIn]
Graham, Christopher D [VerfasserIn]
Alty, Jane E [VerfasserIn]

Links:

Volltext

Themen:

Artificial intelligence
Clinical features
Computer vision
Eulerian magnification
Journal Article
Parkinsonism
Tremor

Anmerkungen:

Date Completed 05.02.2021

Date Revised 05.02.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.jocn.2020.09.046

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM317899015