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Clinical assessment of freezing of gait in Parkinson's disease from computer-generated animation

journal contribution
posted on 19.09.2018, 00:00 authored by TR Morris, C Cho, V Dilda, JM Shine, SL Naismith, SJG Lewis, Steven MooreSteven Moore
The current ‘gold standard’ for clinical evaluation of freezing of gait (FOG) in Parkinson's disease (PD) is determination of the number of FOG episodes from video by independent raters. We have previously described a robust technique for objective FOG assessment from lower-limb acceleration. However, there is no existing method for validation of autonomous FOG measures in the absence of video documentation. In this study we compared the results of clinical evaluation of FOG from computer-generated animations (derived from body-mounted inertial sensors) during a timed up and go test with the ‘gold standard’ of clinical video assessment, utilizing a cohort of 10 experienced raters from four PD centers. Agreement between the 10 clinical observers for scoring of FOG from computer animations was more robust for the relative duration of freeze events (percent time frozen; intraclass correlation coefficient of 0.65) than number of FOG episodes, and was comparable with clinical evaluation of the patient from video (intraclass correlation coefficient 0.73). This result suggests that percent time frozen should be considered (along with number of FOG events) to better convey FOG severity. The ability of clinical observers to quantify FOG from computer-generated animation derived from lower-limb motion data provides a potential approach to validation of accelerometry-based FOG identification outside of the clinic.

History

Volume

18

Issue

1

Start Page

326

End Page

329

Number of Pages

4

eISSN

1879-2219

ISSN

0966-6362

Publisher

Elsevier

Peer Reviewed

Yes

Open Access

No

Acceptance Date

14/12/2012

External Author Affiliations

Mount Sinai School of Medicine, USA; University of Sydney

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Journal

Gait and Posture

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