Jeon HoYoung, Shin Jung Hwan, Yu Ri, Kang Min Kyung, Lee Seungmin, Kim Seoyeon, Jin Bora, Woo Kyung Ah, Kim Han-Joon, Jeon Beomseok
Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Department of Software and Computer Engineering, Ajou University, Suwon, Korea.
J Mov Disord. 2025 Jan;18(1):87-92. doi: 10.14802/jmd.24210. Epub 2024 Dec 23.
This study aims to objectively evaluate turning gait parameters in Parkinson's disease (PD) patients using 2D-RGB video-based analysis and explore their relationships with imbalance.
We prospectively enrolled PD patients for clinical assessment, balance analysis and gait with 180º turning. Spatiotemporal gait parameters during turning were derived using video-based analysis and correlated with modified Hoehn and Yahr (mHY) stages and center of pressure (COP) oscillations.
A total of 64 PD patients were enrolled. The PD patients with higher mHY stages (≥2.5) had significantly longer turning times, greater numbers of steps, wider step bases and less variability in step length during turns. COP oscillations were positively correlated with the mean turning time on both the anterior-posterior and right-left axes.
Spatiotemporal gait parameter during turning, derived from video-based gait analysis, may represent apromising biomarker for monitoring postural instability in PD patients.
本研究旨在利用基于二维RGB视频的分析方法客观评估帕金森病（PD）患者的转身步态参数，并探讨其与平衡障碍的关系。
我们前瞻性地招募了PD患者进行临床评估、平衡分析和180°转身步态分析。使用基于视频的分析方法得出转身过程中的时空步态参数，并将其与改良Hoehn和Yahr（mHY）分期以及压力中心（COP）摆动进行相关性分析。
共纳入64例PD患者。mHY分期较高（≥2.5）的PD患者转身时间明显更长，步数更多，步幅更宽，转身时步长变异性更小。COP摆动与前后轴和左右轴上的平均转身时间呈正相关。
基于视频步态分析得出的转身过程中的时空步态参数，可能是监测PD患者姿势不稳的一个有前景的生物标志物。
