Gait & posture · 2026
Smartphone-based motion capture for gait quantification and symmetry analysis in moderate-stage stroke patients.
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Zeng Yangkang, Peng Yinghu, Xie Lanfang, Liu Lu, Fang Peng, Huang Huanjie, Chen Songbin, Qiu Xiaoying, Wei Xijun, Li Hai
Аннотация
OBJECTIVES: Moderate-stage stroke patients (Brunnstrom recovery stages for the lower-limb IV - V) often retain subtle gait impairments that conventional assessments may overlook, hindering rehabilitation. While 3D gait analysis is precise, its cost and impracticality limit routine use. This cross-sectional pilot study evaluated the potential of a low-cost, dual-smartphone markerless motion capture system (OpenCap) for efficient and clinically useful gait quantification and symmetry analysis in this population.
METHODS: Gait data were collected from 17 stroke patients and 20 healthy controls using OpenCap. Spatiotemporal parameters, symmetry indices, and sagittal-plane hip, knee, and ankle kinematics were computed. Comparisons between groups and between paretic/non-paretic limbs were performed using ANCOVA adjusting for sex, height, weight, and gait speed, with Bonferroni correction. Within-session reliability was calculated using intraclass correlation coefficients (ICC) from multiple trials per subject.
RESULTS: Stroke patients showed significantly longer stance and swing times, reduced stride length, and lower peak hip and knee flexion on the paretic side compared to controls (all p < 0.05, Cohen's d = 0.9-2.0). Asymmetry indices for swing time, hip flexion, knee flexion, and ankle dorsiflexion were significantly higher in stroke patients (p < 0.05, d = 0.7-1.7). Within-session reliability for joint angles ranged from moderate to excellent.
CONCLUSION: A two-smartphone markerless pipeline detected group-level gait differences and asymmetries in moderate-stage stroke patients, supporting its potential for accessible, clinic-friendly assessment and remote monitoring.
METHODS: Gait data were collected from 17 stroke patients and 20 healthy controls using OpenCap. Spatiotemporal parameters, symmetry indices, and sagittal-plane hip, knee, and ankle kinematics were computed. Comparisons between groups and between paretic/non-paretic limbs were performed using ANCOVA adjusting for sex, height, weight, and gait speed, with Bonferroni correction. Within-session reliability was calculated using intraclass correlation coefficients (ICC) from multiple trials per subject.
RESULTS: Stroke patients showed significantly longer stance and swing times, reduced stride length, and lower peak hip and knee flexion on the paretic side compared to controls (all p < 0.05, Cohen's d = 0.9-2.0). Asymmetry indices for swing time, hip flexion, knee flexion, and ankle dorsiflexion were significantly higher in stroke patients (p < 0.05, d = 0.7-1.7). Within-session reliability for joint angles ranged from moderate to excellent.
CONCLUSION: A two-smartphone markerless pipeline detected group-level gait differences and asymmetries in moderate-stage stroke patients, supporting its potential for accessible, clinic-friendly assessment and remote monitoring.