Assessing Gross Motor and Gait Function Using Hip-Knee Cyclograms in Ambulatory Children with Spastic Cerebral Palsy

Jehyun Yoo1,2, Juntaek Hong2, Jeuhee Lee2

  • 1Department of Rehabilitation Medicine, Gachon University Gil Medical Center, College of Medicine, Gachon University, Incheon 21565, Republic of Korea.

PubMed

Insights

Cyclogram analysis of hip and knee movement offers a new, accessible way to assess motor function in children with cerebral palsy (CP). This digital biomarker approach correlates well with traditional clinical measures, potentially simplifying evaluations.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Science
  • Pediatric Neurology

Background:

  • Children with cerebral palsy (CP) often experience motor impairments affecting gross motor, gait, and selective motor functions.
  • Traditional assessments like the Gross Motor Function Measure (GMFM-66) and instrumented gait analysis are valuable but resource-intensive.
  • There is a need for accessible, objective digital biomarkers to evaluate motor function in pediatric CP populations.

Purpose of the Study:

  • To investigate the utility of cyclogram-based analysis of hip and knee kinematics as digital biomarkers for motor function in children with CP.
  • To correlate cyclogram parameters with established clinical assessments including GMFM-66, gait speed, Gait Deviation Index (GDI), and Gait Profile Score (GPS).

Main Methods:

  • Utilized cyclogram analysis of simple hip and knee joint kinematics in 144 ambulatory children with spastic CP.
  • Employed Principal Component Analysis (PCA) to quantify cyclogram shape characteristics.
  • Correlated cyclogram parameters with GMFM-66, gait speed, GDI, and GPS sagittal plane subscores.

Main Results:

  • All cyclogram parameters showed significant correlations with GMFM-66, gait speed, GDI, and GPS hip/knee sagittal subscores.
  • The swing phase area of the cyclogram demonstrated the strongest correlation with clinical measures.
  • Regression models using swing phase area effectively estimated GMFM-66 (R²=0.301) and gait speed (R²=0.484); PC1/PC2 ratio correlated with selective motor control (R²=0.320).

Conclusions:

  • Hip-knee cyclogram parameters show promise as accessible digital biomarkers for assessing motor control and gait in children with bilateral spastic CP.
  • This approach offers a potential alternative to resource-intensive hospital-based evaluations.
  • Further validation using wearable sensors like inertial measurement units is recommended.

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