Literature DB >> 17035022

A method to standardize gait and balance variables for gait velocity.

Marianne B van Iersel1, Marcel G M Olde Rikkert, George F Borm.   

Abstract

Many gait and balance variables depend on gait velocity, which seriously hinders the interpretation of gait and balance data derived from walks at different velocities. However, as far as we know there is no widely accepted method to correct for effects of gait velocity on other gait and balance measures. We developed a simple statistical method to obtain gait and balance variables for each participant that are independent of gait velocity. The first step of our standardization method was the transformation of the gait and balance data to obtain a normal distribution and decrease the influence of outliers. Thereafter, we constructed a formula, based on regression analysis that described how these data varied with gait velocity in each participant during walking without an additional task. Last, this formula was used to standardize the gait and balance data for the effect of gait velocity for each individual participant. As example we present the analysis of mediolateral displacements of the trunk in fit elderly people during walking with and without a dual task.

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Year:  2006        PMID: 17035022     DOI: 10.1016/j.gaitpost.2006.09.002

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


  6 in total

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Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

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3.  Applied Assessment Method for Varus Thrust during Walking in Patients with Knee Osteoarthritis Using Acceleration Data Measured by an Inertial Measurement Unit.

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5.  Control of the upper body accelerations in young and elderly women during level walking.

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6.  Analyzing the Use of Accelerometers as a Method of Early Diagnosis of Alterations in Balance in Elderly People: A Systematic Review.

Authors:  Raquel Leirós-Rodríguez; Jose L García-Soidán; Vicente Romo-Pérez
Journal:  Sensors (Basel)       Date:  2019-09-09       Impact factor: 3.576

  6 in total

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