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Camera-based objective measures of Parkinson's disease gait features

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Item Type:Article
Title:Camera-based objective measures of Parkinson's disease gait features
Creators Name:van Kersbergen, J. and Otte, K. and de Vries, N.M. and Bloem, B.R. and Röhling, H.M. and Mansow-Model, S. and van der Kolk, N.M. and Overeem, S. and Zinger, S. and van Gilst, M.M.
Abstract:OBJECTIVE: Parkinson's disease is a common, age-related, neurodegenerative disease, affecting gait and other motor functions. Technological developments in consumer imaging are starting to provide high-quality, affordable tools for home-based diagnosis and monitoring. This pilot study aims to investigate whether a consumer depth camera can capture changes in gait features of Parkinson's patients. The dataset consisted of 19 patients (tested in both a practically defined OFF phase and ON phase) and 8 controls, who performed the "Timed-Up-and-Go" test multiple times while being recorded with the Microsoft Kinect V2 sensor. Camera-derived features were step length, average walking speed and mediolateral sway. Motor signs were assessed clinically using the Movement Disorder Society Unified Parkinson's Disease Rating Scale. RESULTS: We found significant group differences between patients and controls for step length and average walking speed, showing the ability to detect Parkinson's features. However, there were no differences between the ON and OFF medication state, so further developments are needed to allow for detection of small intra-individual changes in symptom severity.
Keywords:Parkinson’s Disease, Movement Disorders, Kinect TUG‑Test
Source:BMC Research Notes
Publisher:BioMed Central
Page Range:329
Date:26 August 2021
Official Publication:https://doi.org/10.1186/s13104-021-05744-z
PubMed:View item in PubMed

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