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Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder
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Gaitography applied to prosthetic walking.

Melvyn Roerdink1, Andrea G Cutti2, Aurora Summa2

  • 1Faculty of Human Movement Sciences, MOVE Research Institute Amsterdam, VU University Amsterdam, Van der Boechorststraat 9, 1081 BT, Amsterdam, The Netherlands. m.roerdink@vu.nl.

Medical & Biological Engineering & Computing
|September 25, 2014
PubMed
Summary
This summary is machine-generated.

Gaitography, the analysis of center-of-pressure (COP) trajectories, visualizes prosthetic gait differences in amputees. This markerless method offers a promising, rapid clinical tool for assessing gait impairments.

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Area of Science:

  • Biomechanics
  • Gait Analysis
  • Prosthetics

Background:

  • Center-of-pressure (COP) trajectories during walking form characteristic butterfly-like shapes.
  • Gaitography analyzes these COP trajectories (gaitograms) to understand weight shifts.
  • Its utility in characterizing pathological gait, particularly lateralized impairments, remains unexplored.

Purpose of the Study:

  • To investigate the application of gaitography for characterizing gait in individuals with lower-limb amputations.
  • To assess if gaitograms can reveal differences in prosthetic gait patterns.

Main Methods:

  • Gaitograms were recorded from individuals with trans-femoral and trans-tibial amputations during treadmill walking.
  • Analysis focused on gaitogram shape and the temporal evolution of COP trajectories.
  • Standard temporal and spatial prosthetic gait parameters were also derived.

Main Results:

  • Gaitograms visually differentiated individuals based on step width and single-support phase durations.
  • The time evolution along the gaitogram, not just its shape, is crucial for analysis.
  • Individual and systematic differences in step length, step time, swing time, and double-support duration were identified.

Conclusions:

  • Gaitography offers a rapid, unobtrusive, and markerless method for analyzing prosthetic gait.
  • The technique visualizes key differences in gait parameters for amputees.
  • Further studies on repeatability and validation are needed for clinical implementation.