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Intralimb gait coordination of individuals with stroke using vector coding.

Melissa L Celestino1, Richard van Emmerik2, José A Barela3

  • 1Institute of Physical Activity and Sport Sciences, Cruzeiro do Sul University, São Paulo, SP, Brazil.

Human Movement Science
|November 11, 2019
PubMed
Summary

Stroke survivors show altered lower limb coordination, shifting to more proximal control during stance and struggling to decouple segments during swing. Analyzing stance and swing phases separately is key for understanding gait changes after stroke.

Keywords:
Coordination variabilityLocomotor coordinationVector coding technique

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Area of Science:

  • Biomechanics
  • Neurorehabilitation
  • Gait Analysis

Background:

  • Stroke frequently causes functional impairments, particularly affecting gait.
  • Intralimb coordination is crucial for effective gait rehabilitation strategies post-stroke.

Purpose of the Study:

  • To investigate the impact of stroke on lower limb intralimb coordination using vector coding.
  • To compare coordination patterns between individuals with stroke and non-disabled controls.

Main Methods:

  • Employed vector coding technique to analyze intralimb coordination of thigh, shank, and foot segments.
  • Collected gait data from 25 individuals with stroke and 18 controls walking at self-selected speeds.
  • Analyzed coordination modes (in-phase, anti-phase, etc.) and variability during stance, swing, and entire gait cycles.

Main Results:

  • Individuals with stroke exhibited a shift towards proximal control (thigh-leading) during stance phase in both limbs.
  • During swing phase, the paretic limb showed increased in-phase coordination, while the non-paretic limb displayed altered thigh- and foot-leading patterns.
  • No significant differences in coordination variability were observed between paretic, non-paretic, and control limbs.

Conclusions:

  • Vector coding is effective for identifying gait alterations in stroke survivors.
  • Stroke leads to altered intralimb coordination, characterized by a proximal shift in stance and impaired decoupling in swing.
  • Separate analysis of stance and swing phases provides a more accurate understanding of stroke-related gait coordination changes.