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Brief communication Spatiotemporal Gait Parameters During Turning and Imbalance in Parkinson's Disease: Video-Based Analysis from a Single Camera
HoYoung Jeon1, Jung Hwan Shin1corresp_icon, Ri Yu2corresp_icon, Min Kyung Kang3, Seungmin Lee1, Seoyeon Kim1, Bora Jin1, Kyung Ah Woo1, Han-Joon Kim1, Beomseok Jeon4

DOI: https://doi.org/10.14802/jmd.24210 [Accepted]
Published online: December 23, 2024
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1Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
2Department of Software and Computer Engineering, Ajou University, Suwon, Republic of Korea
3Department of Neurology, Bundang Seoul National University Hospital, Seongnam, Republic of Korea
4Department of Neurology, Chung-ang University Health Care System Hyundae Hospital, Namyangju, Republic of Korea
Corresponding author:  Jung Hwan Shin, Tel: +82-2-2072-2278, 
Email: neo2003@snu.ac.kr
Ri Yu, Tel: +82-31-219-2436, 
Email: riyu@ajou.ac.kr
Received: 13 October 2024   • Revised: 17 December 2024   • Accepted: 23 December 2024

Objectives
This study aims to objectively evaluate turning gait parameters in Parkinson disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance.
Methods
We prospectively enrolled PD patients for clinical assessments, balance analysis and gait with 180’ turning. Spatiotemporal gait parameters during turning were derived based on video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations.
Results
A total of 64 PD patients were enrolled. The PD patients with higher mHY stages (≥2.5) had significantly longer turning times, higher number of steps, wider step bases and showed less variability in step length during turns. COP oscillations were positively correlated with mean turning time in the both anterio-posterior (AP) and right-left (RL) axis.
Conclusions
Spatiotemporal gait parameters during turning, derived from video-based gait analysis, may be a promising biomarker for monitoring postural instability in PD patients.

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