Literature DB >> 27570719

A Perturbation Mechanism for Investigations of Phase-Dependent Behavior in Human Locomotion.

Dario J Villarreal1, David Quintero2, Robert D Gregg3.   

Abstract

Bipedal locomotion is a popular area of study across multiple fields (e.g., biomechanics, neuroscience and robotics). Different hypotheses and models have tried explaining how humans achieve stable locomotion. Perturbations that produce shifts in the nominal periodic orbit of the joint kinematics during locomotion could inform about the manner in which the human neuromechanics represent the phase of gait. Ideally, this type of perturbation would modify the progression of the human subject through the gait cycle without deviating from the nominal kinematic orbits of the leg joints. However, there is a lack of publicly available experimental data with this type of perturbation. This paper presents the design and validation of a perturbation mechanism and an experimental protocol capable of producing phase-shifting perturbations of the gait cycle. The effects of this type of perturbation on the gait cycle are statistically quantified and analyzed in order to show that a clean phase shift in the gait cycle was achieved. The data collected during these experiments will be publicly available for the scientific community to test different hypotheses and models of human locomotion.

Entities:  

Keywords:  gait analysis; locomotion control; perturbations; phase-dependent behavior

Year:  2016        PMID: 27570719      PMCID: PMC4996277          DOI: 10.1109/ACCESS.2016.2535661

Source DB:  PubMed          Journal:  IEEE Access        ISSN: 2169-3536            Impact factor:   3.367


  29 in total

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Review 3.  The neuromechanical tuning hypothesis.

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4.  Robotic platform for human gait analysis.

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Journal:  IEEE Trans Biomed Eng       Date:  2007-09       Impact factor: 4.538

5.  Control of reactive balance adjustments in perturbed human walking: roles of proximal and distal postural muscle activity.

Authors:  P F Tang; M H Woollacott; R K Chong
Journal:  Exp Brain Res       Date:  1998-03       Impact factor: 1.972

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7.  A neural circuitry that emphasizes spinal feedback generates diverse behaviours of human locomotion.

Authors:  Seungmoon Song; Hartmut Geyer
Journal:  J Physiol       Date:  2015-06-23       Impact factor: 5.182

8.  Developing a Gait Enhancing Mobile Shoe to Alter Over-Ground Walking Coordination.

Authors:  Ismet Handzic; Erin Vasudevan; Kyle B Reed
Journal:  IEEE Int Conf Robot Autom       Date:  2012-05

9.  Evaluation of gait and slip parameters for adults with intellectual disability.

Authors:  Courtney A Haynes; Thurmon E Lockhart
Journal:  J Biomech       Date:  2012-08-03       Impact factor: 2.712

10.  Comparison of the passive dynamics of walking on ground, tied-belt and split-belt treadmills, and via the Gait Enhancing Mobile Shoe (GEMS).

Authors:  Ismet Handzić; Kyle B Reed
Journal:  IEEE Int Conf Rehabil Robot       Date:  2013-06
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  6 in total

1.  Unified Phase Variables of Relative Degree Two for Human Locomotion.

Authors:  Dario J Villarreal; Robert D Gregg
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

2.  Parameterizing Human Locomotion Across Quasi-Random Treadmill Perturbations and Inclines.

Authors:  Rebecca Macaluso; Kyle Embry; Dario J Villarreal; Robert D Gregg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-03-02       Impact factor: 3.802

3.  Preliminary Experiments with a Unified Controller for a Powered Knee-Ankle Prosthetic Leg Across Walking Speeds.

Authors:  David Quintero; Dario J Villarreal; Robert D Gregg
Journal:  Rep U S       Date:  2016-12-01

4.  A Robust Parameterization of Human Gait Patterns Across Phase-Shifting Perturbations.

Authors:  Dario J Villarreal; Hasan A Poonawala; Robert D Gregg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-05-13       Impact factor: 3.802

5.  A novel system for introducing precisely-controlled, unanticipated gait perturbations for the study of stumble recovery.

Authors:  Shane T King; Maura E Eveld; Andrés Martínez; Karl E Zelik; Michael Goldfarb
Journal:  J Neuroeng Rehabil       Date:  2019-06-10       Impact factor: 4.262

6.  Evaluation of a Neuromechanical Walking Control Model Using Disturbance Experiments.

Authors:  Seungmoon Song; Hartmut Geyer
Journal:  Front Comput Neurosci       Date:  2017-03-14       Impact factor: 2.380

  6 in total

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