Literature DB >> 16332441

Bilateral foot center of pressure measures predict hemiparetic gait velocity.

Chris Mizelle1, Mary Rodgers, Larry Forrester.   

Abstract

Stroke is a major cause of disability in the US, leaving most survivors with abnormal motor function, often resulting in hemiparetic gait. Quality of gait in this population has been well characterized by measures of velocity, though velocity alone provides only a general index of functional mobility. Researchers and clinicians should continue to develop a complete characterization of behavioral alterations, but should also work to identify the neuromechanical processes underlying the loss and recovery of locomotor function. We hypothesized that selected foot center of pressure (CoP) measures would show a predictive relationship with hemiparetic gait velocity, a standard clinical metric of locomotor capability, thus providing insight into the relationship between neuromotor control and function. Thirty-three chronic stroke survivors (67+/-10 years) were evaluated during walking at a self-selected speed. Patients wore pressure sensitive shoe insoles and completed 15 steady-state gait cycles over an instrumented gait mat. CoP parameters and walking velocity were measured during each cycle. Multiple regression analyses were used to model all combinations of CoP and interlimb symmetry parameters as predictor variables of gait velocity. Eleven CoP and symmetry parameters were selected in a final regression model, and provided a robust prediction of hemiparetic gait velocity (R(adj)(2)=0.90) in this group of chronic stroke patients. These results indicate that bilateral foot CoP measures, especially those representing variability of foot CoP control, not only index locomotor function, but may also have the potential to provide information about the underlying control properties of the stroke-injured neuromuscular system. Copyright 2005 Elsevier B.V.

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Year:  2005        PMID: 16332441     DOI: 10.1016/j.gaitpost.2005.11.003

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  10 in total

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2.  Effect of Task Specific Exercises, Gait Training, and Visual Biofeedback on Equinovarus Gait among Individuals with Stroke: Randomized Controlled Study.

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3.  Task-specific ankle robotics gait training after stroke: a randomized pilot study.

Authors:  Larry W Forrester; Anindo Roy; Charlene Hafer-Macko; Hermano I Krebs; Richard F Macko
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4.  A cross-sectional study comparing lateral and diagonal maximum weight shift in people with stroke and healthy controls and the correlation with balance, gait and fear of falling.

Authors:  Margaretha M van Dijk; Sarah Meyer; Solveig Sandstad; Evelyne Wiskerke; Rhea Thuwis; Chesny Vandekerckhove; Charlotte Myny; Nitesh Ghosh; Hilde Beyens; Eddy Dejaeger; Geert Verheyden
Journal:  PLoS One       Date:  2017-08-15       Impact factor: 3.240

5.  Backward Locomotor Treadmill Training Differentially Improves Walking Performance across Stroke Walking Impairment Levels.

Authors:  Oluwole O Awosika; Dorothy Chan; Heidi J Sucharew; Pierce Boyne; Amit Bhattacharya; Kari Dunning; Brett M Kissela
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7.  Serial Backward Locomotor Treadmill Training Improves Bidirectional Walking Performance in Chronic Stroke.

Authors:  Oluwole O Awosika; Dorothy Chan; Bridget A Rizik; Heidi J Sucharew; Pierce Boyne; Amit Bhattacharya; Kari Dunning; Brett M Kissela
Journal:  Front Neurol       Date:  2022-03-14       Impact factor: 4.003

8.  Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.

Authors:  Carolyn Buesing; Gabriela Fisch; Megan O'Donnell; Ida Shahidi; Lauren Thomas; Chaithanya K Mummidisetty; Kenton J Williams; Hideaki Takahashi; William Zev Rymer; Arun Jayaraman
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9.  An explorative investigation of functional differences in plantar center of pressure of four foot types using sample entropy method.

Authors:  Zhanyong Mei; Kamen Ivanov; Guoru Zhao; Huihui Li; Lei Wang
Journal:  Med Biol Eng Comput       Date:  2016-06-16       Impact factor: 2.602

10.  Effects of the degree of freedom and assistance characteristics of powered ankle-foot orthoses on gait stability.

Authors:  Ho Seon Choi; Yoon Su Baek
Journal:  PLoS One       Date:  2020-11-10       Impact factor: 3.240

  10 in total

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