Literature DB >> 24855981

Quantification and reliability of center of pressure movement during balance tasks of varying difficulty.

Jennifer Baltich1, Vinzenz von Tscharner2, Payam Zandiyeh2, Benno M Nigg2.   

Abstract

Postural control is often assessed by quantifying the magnitude of the center of pressure (COP) movement. However, these measures usually focus on the gross amount of movement and ignore the temporal structure of the COP signal. A novel non-linear analysis technique was recently developed to characterize the temporal structure of the COP signal with an output termed the entropic half-life [E(1/2)]. The E(1/2) reflects how much of the previous postural position is used to determine the current postural control strategy (memory effect). The purpose of this study was to quantify the E(1/2) and four COP movement magnitude measurements (medio-lateral and anterior-posterior excursion, path length, 95% ellipse area) for balance tasks increasing in sensory difficulty, as well as the test-retest reliability of each measure. Twenty-seven healthy young adults completed single limb stance tasks varying in sensory difficulty (rigid surface eyes open, rigid surface eyes closed, foam surface eyes open) on two separate occasions. Relative reliability was assessed using an intraclass correlation coefficient (ICC3,3). Absolute reliability was assessed using the standard error of the measurement (SEM) and the sensitivity of the measurement to true changes was assessed using the minimal detectable change (MDC95). The E(1/2) was found to have excellent reliability for all tasks tested (ICC range 0.82-0.91, SEM range 3.5-14.1 mm, MCD95 range 9.7-39.2 mm). The high reliability of the E(1/2) was comparable to that of movement magnitude measurements. This may be used in order to better understand the underlying motor control system.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Center of pressure; Magnitude; Regularity; Reliability; Temporal

Mesh:

Year:  2014        PMID: 24855981     DOI: 10.1016/j.gaitpost.2014.04.208

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


  16 in total

1.  Time scale dependence of the center of pressure entropy: What characteristics of the neuromuscular postural control system influence stabilographic entropic half-life?

Authors:  Peter Federolf; Payam Zandiyeh; Vinzenz von Tscharner
Journal:  Exp Brain Res       Date:  2015-08-25       Impact factor: 1.972

2.  On the application of entropic half-life and statistical persistence decay for quantification of time dependency in human gait.

Authors:  Peter C Raffalt; Jennifer M Yentes
Journal:  J Biomech       Date:  2020-06-13       Impact factor: 2.712

3.  Introducing Statistical Persistence Decay: A Quantification of Stride-to-Stride Time Interval Dependency in Human Gait.

Authors:  P C Raffalt; J M Yentes
Journal:  Ann Biomed Eng       Date:  2017-09-25       Impact factor: 3.934

4.  Balance on different unstable supports: a complementary approach based on linear and non-linear analyses.

Authors:  John McCamley; Elena Bergamini; Eleni Grimpampi
Journal:  Med Biol Eng Comput       Date:  2022-02-09       Impact factor: 2.602

5.  Inter-limb coupling in individuals with transtibial amputation during bilateral stance is direction dependent.

Authors:  Peter C Raffalt; Jenny A Kent; Nick Stergiou
Journal:  Hum Mov Sci       Date:  2021-08-12       Impact factor: 2.397

6.  The effects of isolated ankle strengthening and functional balance training on strength, running mechanics, postural control and injury prevention in novice runners: design of a randomized controlled trial.

Authors:  Jennifer Baltich; Carolyn A Emery; Darren Stefanyshyn; Benno M Nigg
Journal:  BMC Musculoskelet Disord       Date:  2014-12-04       Impact factor: 2.362

7.  Assessing postural stability via the correlation patterns of vertical ground reaction force components.

Authors:  Chih-Yuan Hong; Lan-Yuen Guo; Rong Song; Mark L Nagurka; Jia-Li Sung; Chen-Wen Yen
Journal:  Biomed Eng Online       Date:  2016-08-02       Impact factor: 2.819

Review 8.  Techniques and Methods for Testing the Postural Function in Healthy and Pathological Subjects.

Authors:  Thierry Paillard; Frédéric Noé
Journal:  Biomed Res Int       Date:  2015-11-12       Impact factor: 3.411

9.  Measuring postural stability with an inertial sensor: validity and sensitivity.

Authors:  Christopher Neville; Caleb Ludlow; Brian Rieger
Journal:  Med Devices (Auckl)       Date:  2015-11-05

10.  Cortical Modulation of Motor Control Biofeedback among the Elderly with High Fall Risk during a Posture Perturbation Task with Augmented Reality.

Authors:  Chun-Ju Chang; Tsui-Fen Yang; Sai-Wei Yang; Jen-Suh Chern
Journal:  Front Aging Neurosci       Date:  2016-04-28       Impact factor: 5.750

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