Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/20703
Title: An Instrumented Pull Test to Characterize Postural Responses.
Austin Authors: Tan, Joy;Thevathasan, Wesley;McGinley, Jennifer;Brown, Peter;Perera, Thushara
Affiliation: Department of Neurology, The Royal Melbourne Hospital
Department of Medicine, The University of Melbourne
Department of Neurology, Austin Health, Heidelberg, Victoria, Australia
The Bionics Institute
Department of Medical Bionics, The University of Melbourne
Department of Physiotherapy, The University of Melbourne
Medical Research Council Brain Network Dynamics Unit, University of Oxford
Issue Date: 6-Apr-2019
Date: 2019-04-06
Publication information: Journal of visualized experiments : JoVE 2019; 146
Abstract: Impairment of postural reflexes, termed postural instability, is a common and disabling deficit in Parkinson's disease. To assess postural reflexes, clinicians typically employ the pull test to grade corrective responses to a backward perturbation at the shoulders. However, the pull test is prone to issues with reliability and scaling (score/4). Here, we present an instrumented version of the pull test to more precisely quantify postural responses. Akin to the clinical test, pulls are manually administered except pull force is also recorded. Displacements of the trunk and feet are captured by a semi-portable motion tracking system. Raw data represent distance traveled (in millimeter units), making subsequent interpretation and analysis intuitive. The instrumented pull test also detects variabilities influencing pull test administration, such as pull force, thereby identifying and quantifying potential confounds that can be accounted for by statistical techniques. The instrumented pull test could have application in studies seeking to capture early abnormalities in postural responses, track postural instability over time, and detect responses to therapy.
URI: https://ahro.austin.org.au/austinjspui/handle/1/20703
DOI: 10.3791/59309
Journal: Journal of visualized experiments : JoVE
PubMed URL: 31008999
Type: Journal Article
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