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Design and validation of a multi-task, multi-context protocol for real-world gait simulation.

Kirsty Scott1,2, Tecla Bonci3,4, Francesca Salis5

  • 1Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine, The University of Sheffield, Sheffield, UK. kscott3@sheffield.ac.uk.

Journal of Neuroengineering and Rehabilitation
|December 15, 2022
PubMed
Summary

This study introduces a safe and feasible protocol to simulate real-world gait, capturing diverse mobility factors for better monitoring device validation. The new method effectively measures gait across various conditions and patient groups.

Keywords:
Digital mobility outcomesMobility monitoringNeurological diseasesTechnical validationWearable sensors

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Area of Science:

  • Biomechanics
  • Clinical Gait Analysis
  • Rehabilitation Engineering

Background:

  • Daily life mobility measurement is complex due to confounding factors like pathology, individual strategies, environment, and task purpose.
  • Existing methods often fail to capture the full spectrum of real-world gait variations.
  • A need exists for a comprehensive and safe protocol to simulate diverse gait scenarios.

Purpose of the Study:

  • To propose and validate a novel protocol for simulating real-world gait.
  • To account for pathological characteristics, individual walking strategies, environmental context, and task purpose within a single observation set.
  • To ensure participant safety and minimize burden while maximizing data richness.

Main Methods:

  • Developed a protocol with eight motor tasks varying in speed, incline, surface, path, cognitive demand, and posture.
  • Included a tiered difficulty approach within and across tasks.
  • Recruited 108 participants from six cohorts: healthy older adults and individuals with Parkinson's disease, multiple sclerosis, proximal femoral fracture, COPD, or CHF.

Main Results:

  • The protocol was demonstrated to be safe and feasible, with no adverse events recorded.
  • Complex tasks increased the spread of walking speeds compared to standard trials.
  • The protocol effectively represented various daily life mobility aspects, suitable for monitoring device validation.

Conclusions:

  • The protocol enables gait measurement across diverse pathological conditions.
  • It can be utilized to detect gait changes associated with disease onset/progression or therapeutic interventions.
  • This approach offers a robust method for assessing gait in complex, real-world relevant scenarios.