Three-dimensional kinematics of the upper limb during a Reach and Grasp Cycle for children

Erin E Butler1, Amy L Ladd, Stephanie A Louie

  • 1Department of Bioengineering, Stanford University, United States. erine@stanford.edu

Gait & Posture
|April 10, 2010
PubMed

Insights

This study developed a quantitative method using 3D motion analysis to assess upper limb motor deficits in children with cerebral palsy (CP). The Reach and Grasp Cycle protocol effectively identified distinct kinematic patterns in children with CP compared to typically developing peers.

Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Pediatric Rehabilitation

Background:

  • Upper limb motor function is crucial for daily activities.
  • Cerebral palsy (CP) often impairs upper limb motor skills.
  • Objective assessment of these deficits is vital for effective intervention.

Purpose of the Study:

  • To develop a quantitative method for assessing upper limb motor deficits in children with CP.
  • To utilize three-dimensional (3D) motion analysis for this assessment.
  • To establish a repeatable protocol for objective clinical evaluation.

Main Methods:

  • The study involved 25 typically developing (TD) children and 2 children with spastic hemiplegic CP.
  • Participants performed a 'Reach and Grasp Cycle' involving six sequential tasks.
  • Kinematic data of the trunk and upper limb were collected using 3D motion analysis.

Main Results:

  • Consistent kinematic patterns were identified in TD children across various joints and the trunk.
  • Children with CP exhibited reduced elbow extension and increased wrist flexion and trunk motion.
  • CP group showed a tendency for increased active shoulder external rotation and forearm supination during object transport.

Conclusions:

  • The Reach and Grasp Cycle protocol provides repeatable and objective data for evaluating functional upper limb motor performance.
  • Clinically significant differences in joint motion were observed between children with CP and TD children.
  • This quantitative method holds promise for clinical assessment and monitoring of CP-related motor deficits.