新医学2026，Vol.57Issue(3)：253-260,8.DOI:10.12464/j.issn.0253-9802.2025-0428
可穿戴设备评估帕金森病伴冻结步态患者的步态特征研究
A study of gait characteristics in Parkinson's disease patients with freezing of gait assessed using wearable devices
摘要
Abstract
Objective To identify characteristic gait parameters in Parkinson's disease(PD)patients with freezing of gait(FOG)using wearable sensors,explore factors influencing FOG based on clinical and sensor-derived parameters,and develop an identification model.Methods A total of 83 PD patients were enrolled(FOG group,n=20;non-FOG group,n=63).All patients completed the Timed Up and Go(TUG)test in the"OFF"state while wearing 10 inertial measurement unit(IMU)sensors to collect gait data.Analysis of covariance(ANCOVA)was employed to control for the effects of age,Unified Parkinson's Disease Rating Scale Part Ⅲ(UPDRS-Ⅲ)scores,and thigh length,and multiple comparisons were adjusted using false discovery rate(FDR).Univariate and stratified logistic regression analyses were performed to screen influencing factors and construct an identification model.Model performance was evaluated using indices such as the area under the receiver operating characteristic curve(AUC).Results After controlling for confounding factors,patients in the FOG group still exhibited higher stance-phase asymmetry than those in the non-FOG group.Univariate analysis indicated that decreased gait speed,increased gait variability,and increased asymmetry were influencing factors for FOG.Stratified logistic regression analysis demonstrated that adding stance-phase asymmetry to a baseline model including age and UPDRS-Ⅲ scores improved model performance,increasing sensitivity from 75.0%to 85.0%and AUC from 0.810 to 0.840.Conclusions Stance-phase asymmetry is a core gait characteristic that distinguishes PD patients with FOG from generalized bradykinesia.Incorporating this objective sensor-derived parameter into routine clinical assessment can effectively improve FOG identification,providing evidence for objective assessment,early detection,and targeted rehabilitation intervention for FOG.关键词
帕金森病/冻结步态/可穿戴设备/步态分析/运动传感器Key words
Parkinson's disease/Freezing of gait/Wearable devices/Gait analysis/Motion sensors引用本文复制引用
赵倩楠,王凤雪,杨改清..可穿戴设备评估帕金森病伴冻结步态患者的步态特征研究[J].新医学,2026,57(3):253-260,8.基金项目
河南省医学科技攻关计划项目(LHGJ20250676) （LHGJ20250676）
郑州市医疗卫生科技创新指导计划项目(2024YLZDJH268) （2024YLZDJH268）
