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Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
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Lower limb angular velocity during walking at various speeds.

Benjamin F Mentiplay1, Megan Banky2, Ross A Clark3

  • 1Department of Physiotherapy, Epworth HealthCare, Australia; La Trobe Sport and Exercise Medicine Research Centre, La Trobe University, Australia; Victorian Infant Brain Studies, Murdoch Children's Research Institute, Australia.

Gait & Posture
|December 19, 2018
PubMed
Summary
This summary is machine-generated.

This study reveals that as walking speed increases, so do lower limb joint angles and angular velocities in healthy adults. These findings provide a normative dataset for clinical comparisons and treatment development.

Keywords:
Angular velocityBiomechanicsGaitKinematicsMobility

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Gait Science

Background:

  • Limited research exists on lower limb joint angular velocity during walking.
  • A normative dataset for joint angular velocity is needed for clinical comparisons.
  • Understanding normal joint angular velocity can aid clinical assessment and treatment.

Purpose of the Study:

  • To examine lower limb joint angles and angular velocities in healthy adults across various walking speeds.
  • To establish a normative dataset for joint angular velocity during gait.

Main Methods:

  • Three-dimensional gait analysis was performed on 36 healthy adults.
  • Participants walked at various speeds (0.4–1.6 m/s).
  • Peak joint angles and angular velocities of the hip, knee, and ankle were analyzed in the sagittal plane.

Main Results:

  • Gait trace shapes remained consistent across speeds.
  • Peak joint angles and angular velocities increased with walking speed for hip, knee, and ankle.
  • Peak knee angular velocity occurred during terminal swing; peak ankle and hip velocity occurred during push-off.

Conclusions:

  • Walking speed significantly influences lower limb joint angular velocities.
  • The generated data serve as a valuable comparator for clinical cohorts.
  • Findings can inform clinical assessment and treatment strategies for gait impairments.