Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1418
Title: Accurate clinical spasticity assessment: Validation of movement speed and joint angle assessments using Smartphones and camera tracking.
Epworth Authors: Banky, Megan
Mentiplay, Benjamin
Olver, John
Williams, Gavin
Kahn, Michelle
Other Authors: Clark, Ross
Keywords: Lower Limb Spasticity
Mobility
Spasiticy Assessment Tools
Spasticity
Microsoft KinectTM
Smartphone
Joint Angular Velocity
Range of Motion
ROM
Quadriceps Spasticity
Hamstrings Spasticity
Soleus Spasticity
Gastrocnemius Spasticity
Modified Tardieu Scale
MTS
3-Dimensional Motion Analysis
3DMA
Joint Start Angle
End Angle
Clinical Practice
Rehabilitation, Mental Health and Chronic Pain Clinical Institute, Epworth HealthCare, Victoria, Australia
Physiotherapy Department, Epworth Healthcare, Melbourne, Australia
Issue Date: Jun-2018
Conference: Epworth HealthCare Research Week 2018
Conference Location: Epworth Research Institute, Victoria, Australia
Abstract: Background: Lower limb spasticity is prevalent following neurological injury, yet its impact on mobility remains unclear. The choice and application of spasticity assessment tools may influence the conflicting findings on the relationship between spasticity and mobility. This study aimed to establish whether a three-dimensional camera (Microsoft KinectTM) and a Smartphone can be used to accurately quantify the joint angular velocity and range of motion (ROM) during a lower limb spasticity assessment. Methods: Thirty-five healthy controls, 35 patients with a neurological condition and 34 rehabilitation professionals participated. Spasticity of the quadriceps, hamstrings, soleus and gastrocnemius were assessed using the Modified Tardieu Scale (MTS). Data for each trial were collected concurrently using the criterion reference Optitrack three-dimensional motion analysis (3DMA) system, Microsoft KinectTM and Smartphone. Joint start angle, end angle, total ROM and peak testing velocity were measured. Spearman’s rho and intraclass correlation coefficients (ICC2,k) with 95% confidence intervals were used to report the strength of the relationships investigated. Results: The Smartphone and Microsoft KinectTM demonstrated excellent concurrent validity with the 3DMA system, with 74.8% of the relationships investigated demonstrating a very strong (≥ 0.80) correlation. The Microsoft KinectTM was superior to the Smartphone for measuring joint start and end angle, the Smartphone superior for measuring joint angular velocity, and the systems were comparable when measuring total joint ROM. Conclusions: There is scope in clinical practice to implement user-friendly and low-cost technologies to provide valid and standardised measures of joint angles and angular velocity when applying the MTS in clinical practice.
URI: http://hdl.handle.net/11434/1418
Type: Conference Poster
Affiliated Organisations: School of Health and Sport Sciences, University of the Sunshine Coast, Queensland
La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne
Victorian Infant Brain Studies, Murdoch Children’s Research Institute, Melbourne
Department of Physiotherapy, University of Melbourne, Melbourne
Type of Clinical Study or Trial: Validation Study
Appears in Collections:Rehabilitation

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