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Post-Stroke Functional Changes: In-Depth Analysis of Clinical Tests and Motor-Cognitive Dual-Tasking Using Wearable

Masoud Abdollahi1, Ehsan Rashedi1, Pranav Madhav Kuber1

  • 1Department of Industrial and Systems Engineering, Rochester Institute of Technology, Rochester, NY 14623, USA.

Bioengineering (Basel, Switzerland)
|April 27, 2024
PubMed
Summary

This study used wearable sensors during mobility tests to reveal detailed motor deficits in stroke survivors. Dual-tasking significantly worsened performance, highlighting challenges in attention and movement control for stroke recovery.

Keywords:
kinematicsmovement analysisneurological disordersrehabilitationstroke

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomechanics

Background:

  • Clinical mobility tests like TUG lack detailed quantitative measures.
  • Post-stroke motor deficits significantly impact daily function and recovery.
  • Understanding specific movement impairments is crucial for effective rehabilitation.

Purpose of the Study:

  • To investigate the effects of stroke on kinematic features during mobility tasks.
  • To assess the impact of motor-cognitive dual-tasking on post-stroke movement.
  • To determine the utility of instrumented clinical tests for identifying stroke-related motor deficits.

Main Methods:

  • 21 stroke survivors and 20 controls performed Timed Up and Go (TUG), sit-to-stand (STS), and 10 Meter Walk Test (10MWT).
  • Tests included single-task (ST) and dual-task (DT) conditions with cognitive load (reverse counting).
  • Eight wearable motion sensors recorded kinematic data during task execution.

Main Results:

  • Stroke survivors showed significantly longer TUG times (23%) and turning times (31%).
  • Dual-tasking increased overall TUG time (20%) and turning time (31%) in stroke survivors.
  • Stroke survivors exhibited reduced trunk angular velocity during STS (20%) and slower gait speed (18%).

Conclusions:

  • Instrumented clinical tests with dual-tasking effectively identify subtle motor deficits in stroke survivors.
  • Quantitative motion analysis provides detailed insights into impairments during sitting, standing, walking, and turning.
  • These findings support the optimization of stroke rehabilitation through objective movement assessment.