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Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

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Published on: November 7, 2014

Differences in gait complexity and variability between children with and without developmental coordination disorder.

Karl S Rosengren1, Frederik J A Deconinck, Louis A Diberardino

  • 1Department of Psychology, Northwestern University, 2029 Sheridan Road, Evanston, IL 60208, USA. k-rosengren@northwestern.edu

Gait & Posture
|October 3, 2008
PubMed
Summary
This summary is machine-generated.

Children with Developmental Coordination Disorder (DCD) show more complex and variable gait patterns than typically developing children. Elliptical Fourier analysis (EFA) can help distinguish these differences in movement consistency.

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Area of Science:

  • Movement science
  • Pediatric motor control
  • Biomechanical analysis

Background:

  • Developmental Coordination Disorder (DCD) affects motor skill acquisition.
  • Assessing gait complexity and variability is crucial for understanding motor disorders.
  • Elliptical Fourier analysis (EFA) offers a quantitative method for shape analysis.

Purpose of the Study:

  • To investigate gait differences between children with and without DCD using EFA.
  • To quantify the complexity and variability of gait patterns in children with DCD.
  • To assess movement asymmetry in the gait of children with DCD.

Main Methods:

  • Elliptical Fourier analysis (EFA) applied to gait data.
  • Comparison of gait patterns between children with DCD (N=10) and typically developing (TD) children (N=10).
  • Analysis of movement variability, complexity, and asymmetry.

Main Results:

  • Children with DCD exhibited significantly higher gait variability and complexity.
  • Greater movement asymmetry was observed in children with DCD compared to TD children.
  • EFA effectively distinguished between the gait patterns of the two groups.

Conclusions:

  • Children with DCD demonstrate impaired consistency in producing movement patterns.
  • EFA is a promising technique for identifying and differentiating motor control issues in children.
  • Findings highlight the utility of EFA in pediatric motor assessment.