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Treadmill-based system for postural studies: Design and validation.

Jennifer H Barnes1, Amir Eftekhar2, Timothy T Fake2

  • 1National Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA; Department of Kinesiology and Applied Physiology, University of Delaware, Newark DE USA.

Medical Engineering & Physics
|December 13, 2023
PubMed
Summary
This summary is machine-generated.

This study developed a custom system using a split-belt treadmill to deliver precise postural disturbances for gait studies. The system accurately delivered perturbations, enabling effective training for participants to improve postural responses.

Keywords:
Computer-controlled treadmillFall preventionPerturbation-based trainingPostural controlRehabilitation

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Area of Science:

  • Biomechanics
  • Human Movement Science
  • Neuroscience

Background:

  • Computer-controlled treadmills are valuable for gait research, but manual control of brief postural disturbances is challenging.
  • Existing treadmill software may not precisely control the timing and magnitude of brief perturbations.
  • Accurate and repeatable postural disturbances are crucial for perturbation-based studies.

Purpose of the Study:

  • To present a novel system combining a split-belt treadmill with custom hardware and software for delivering controlled postural disturbances.
  • To simultaneously record kinematic, electromyographic, and force data during these perturbations.
  • To assess the accuracy and repeatability of treadmill-delivered perturbations.

Main Methods:

  • A Bertec® split-belt treadmill was integrated with custom hardware and software.
  • 15 healthy participants underwent an 8-session perturbation-based training protocol.
  • Motion capture analyzed perturbation characteristics (duration, displacement, peak velocity) against software commands.
  • Kinematic, electromyographic, and force data were collected.

Main Results:

  • Perturbation durations were as expected based on software commands.
  • Peak velocities and displacements were slightly higher than expected (0.59 cm/s and 1.76 cm increases, respectively).
  • These consistent increases did not hinder training or data analysis.
  • Treadmill behavior demonstrated 95% repeatability across trials.

Conclusions:

  • The custom system effectively delivers repeatable postural disturbances for gait and postural studies.
  • The system allows simultaneous multi-modal data collection during controlled perturbations.
  • This technology facilitates perturbation-based training and research in human movement science.