Journal article
Toward accurate clinical spasticity assessment: Validation of movement speed and joint angle assessments using Smartphones and camera tracking
Archives of Physical Medicine and Rehabilitation, Vol.100(8), pp.1482-1491
2019
Abstract
Objective: To investigate 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) compared to a criterion standard three-dimensional motion analysis system during a lower limb spasticity assessment. Design: Observational, criterion standard comparison study. Setting: Large rehabilitation centre. Participants: A convenience sample of thirty-five healthy controls, 35 patients with a neurological condition and 34 rehabilitation professionals (physiotherapists and rehabilitation doctors) participated. Interventions: Not applicable. Main Outcome Measure(s): The Modified Tardieu Scale was used to assess spasticity of the the quadriceps, hamstrings, soleus and gastrocnemius. Data for each trial were collected concurrently using the criterion standard Optitrack three-dimensional motion analysis (3DMA) system, Microsoft KinectTM and Smartphone. Each healthy control participant was assessed by one health professional and each patient with a neurological condition was assessed by three health professionals. 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. Overall, 74.8% of the relationships investigated demonstrated a very strong (≥0.80) correlation across all of the testing parameters. 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 comparable for measuring total joint ROM. Conclusions: These findings provide preliminary evidence that user-friendly, low-cost technologies can be used to facilitate accurate measurements of joint angular velocity and angles during a lower limb spasticity assessment in a clinical setting.
Details
- Title
- Toward accurate clinical spasticity assessment: Validation of movement speed and joint angle assessments using Smartphones and camera tracking
- Authors
- Megan A Banky (Author) - University of the Sunshine Coast - School of Health & Sport SciencesRoss Clark (Author) - University of the Sunshine Coast - School of Health & Sport SciencesBenjamin Mentiplay (Author) - La Trobe UniversityJohn H Olver (Author) - Epworth Monash Rehabilitation Medicine UnitMichelle B Kahn (Author) - Epworth HealthCareGavin Williams (Author) - University of Melbourne
- Publication details
- Archives of Physical Medicine and Rehabilitation, Vol.100(8), pp.1482-1491
- Publisher
- W.B. Saunders Co.
- Date published
- 2019
- DOI
- 10.1016/j.apmr.2018.11.026
- ISSN
- 0003-9993
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Health and Behavioural Sciences - Legacy; School of Health - Public Health
- Language
- English
- Record Identifier
- 99451505002621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Rehabilitation
- Sport Sciences
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Source: InCites