Yoo Jehyun, Hong Juntaek, Lee Jeuhee, Cho Yebin, Lee Taekyung, Rha Dong-Wook
Department of Rehabilitation Medicine, Gachon University Gil Medical Center, College of Medicine, Gachon University, Incheon 21565, Republic of Korea.
Department and Research Institute of Rehabilitation Medicine, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.
Sensors (Basel). 2025 Jul 18;25(14):4485. doi: 10.3390/s25144485.
Weakness, spasticity, and muscle shortening are common in children with cerebral palsy (CP), leading to deficits in gross motor, gait, and selective motor functions. While traditional assessments, such as the Gross Motor Function Measure (GMFM-66), instrumented gait analysis, and the Selective Control Assessment of the Lower Extremity (SCALE), are widely used, they are often limited by the resource-intensive nature of hospital-based evaluations. We employed cyclogram-based analysis, utilizing simple hip and knee joint kinematics to assess clinical measures, including GMFM-66, normalized gait speed, the gait deviation index (GDI), and the gait profile score (GPS). Principal component analysis was used to quantify the cyclogram shape characteristics. A total of 144 children with ambulatory spastic CP were included in the study. All the cyclogram parameters were significantly correlated with GMFM-66, gait speed, the GDI, and the sagittal plane subscore of the GPS for the hip and knee, with the swing phase area showing the strongest correlation. Regression models based on the swing phase area were used to estimate the GMFM-66 (R = 0.301) and gait speed (R = 0.484). The PC1/PC2 ratio showed a moderate correlation with selective motor control, as measured by the SCALE (R = 0.320). These findings highlight the potential of hip-knee cyclogram parameters to be used as accessible digital biomarkers for evaluating motor control and gait function in children with bilateral spastic CP. Further prospective studies using wearable sensors, such as inertial measurement units, are warranted to validate and build upon these results.
虚弱、痉挛和肌肉挛缩在脑瘫(CP)儿童中很常见,会导致粗大运动、步态和选择性运动功能出现缺陷。虽然传统评估方法,如粗大运动功能测量(GMFM - 66)、仪器化步态分析和下肢选择性控制评估(SCALE)被广泛使用,但它们往往受到基于医院评估资源密集性的限制。我们采用基于周期图的分析方法,利用简单的髋关节和膝关节运动学来评估临床指标,包括GMFM - 66、标准化步态速度、步态偏差指数(GDI)和步态轮廓评分(GPS)。主成分分析用于量化周期图形状特征。共有144名门诊痉挛型CP儿童纳入本研究。所有周期图参数均与GMFM - 66、步态速度、GDI以及髋关节和膝关节GPS矢状面子评分显著相关,其中摆动相面积显示出最强的相关性。基于摆动相面积的回归模型用于估计GMFM - 66(R = 0.301)和步态速度(R = 0.484)。PC1/PC2比值与通过SCALE测量的选择性运动控制呈中度相关(R = 0.320)。这些发现突出了髋 - 膝周期图参数作为可获取的数字生物标志物用于评估双侧痉挛型CP儿童运动控制和步态功能的潜力。有必要进一步开展前瞻性研究,使用可穿戴传感器,如惯性测量单元,以验证并在此基础上拓展这些结果。