Literature DB >> 29066244

Reliability of assessing postural control during seated balancing using a physical human-robot interaction.

Ahmed Ramadan1, Jacek Cholewicki2, Clark J Radcliffe3, John M Popovich2, N Peter Reeves2, Jongeun Choi4.   

Abstract

This study evaluated the within- and between-visit reliability of a seated balance test for quantifying trunk motor control using input-output data. Thirty healthy subjects performed a seated balance test under three conditions: eyes open (EO), eyes closed (EC), and eyes closed with vibration to the lumbar muscles (VIB). Each subject performed three trials of each condition on three different visits. The seated balance test utilized a torque-controlled robotic seat, which together with a sitting subject resulted in a physical human-robot interaction (pHRI) (two degrees-of-freedom with upper and lower body rotations). Subjects balanced the pHRI by controlling trunk rotation in response to pseudorandom torque perturbations applied to the seat in the coronal plane. Performance error was expressed as the root mean square (RMSE) of deviations from the upright position in the time domain and as the mean bandpass signal energy (Emb) in the frequency domain. Intra-class correlation coefficients (ICC) quantified the between-visit reliability of both RMSE and Emb. The empirical transfer function estimates (ETFE) from the perturbation input to each of the two rotational outputs were calculated. Coefficients of multiple correlation (CMC) quantified the within- and between-visit reliability of the averaged ETFE. ICCs of RMSE and Emb for all conditions were ≥0.84. The mean within- and between-visit CMCs were all ≥0.96 for the lower body rotation and ≥0.89 for the upper body rotation. Therefore, our seated balance test consisting of pHRI to assess coronal plane trunk motor control is reliable.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Lumbar spine; Postural control; Reliability assessment; Seated balance

Mesh:

Year:  2017        PMID: 29066244      PMCID: PMC5710006          DOI: 10.1016/j.jbiomech.2017.09.036

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  30 in total

1.  Sensorimotor integration in human postural control.

Authors:  R J Peterka
Journal:  J Neurophysiol       Date:  2002-09       Impact factor: 2.714

2.  Differences in balance strategies between nonspecific chronic low back pain patients and healthy control subjects during unstable sitting.

Authors:  Ulrike Van Daele; Friso Hagman; Steven Truijen; Peter Vorlat; Bart Van Gheluwe; Peter Vaes
Journal:  Spine (Phila Pa 1976)       Date:  2009-05-15       Impact factor: 3.468

3.  Time-Domain Optimal Experimental Design in Human Seated Postural Control Testing.

Authors:  M Cody Priess; Jongeun Choi; Clark Radcliffe; John M Popovich; Jacek Cholewicki; N Peter Reeves
Journal:  J Dyn Syst Meas Control       Date:  2015-05       Impact factor: 1.372

4.  Criterion validity and between-day reliability of an inertial-sensor-based trunk postural stability test during unstable sitting.

Authors:  Christian Larivière; Hakim Mecheri; Ali Shahvarpour; Denis Gagnon; Aboulfazl Shirazi-Adl
Journal:  J Electromyogr Kinesiol       Date:  2013-04-10       Impact factor: 2.368

5.  An active balance board system with real-time control of stiffness and time-delay to assess mechanisms of postural stability.

Authors:  Denise R Cruise; James R Chagdes; Joshua J Liddy; Shirley Rietdyk; Jeffrey M Haddad; Howard N Zelaznik; Arvind Raman
Journal:  J Biomech       Date:  2017-06-21       Impact factor: 2.712

6.  Quantitative measures of sagittal plane head-neck control: a test-retest reliability study.

Authors:  John M Popovich; N Peter Reeves; M Cody Priess; Jacek Cholewicki; Jongeun Choi; Clark J Radcliffe
Journal:  J Biomech       Date:  2014-11-27       Impact factor: 2.712

7.  Center of pressure trajectories, trunk kinematics and trunk muscle activation during unstable sitting in low back pain patients.

Authors:  Nienke W Willigenburg; Idsart Kingma; Jaap H van Dieën
Journal:  Gait Posture       Date:  2013-03-06       Impact factor: 2.840

8.  Evaluation of the threshold of stability for the human spine.

Authors:  Martin L Tanaka; Maury A Nussbaum; Shane D Ross
Journal:  J Biomech       Date:  2009-04-03       Impact factor: 2.712

9.  Reliability of assessing trunk motor control using position and force tracking and stabilization tasks.

Authors:  N Peter Reeves; John M Popovich; M Cody Priess; Jacek Cholewicki; Jongeun Choi; Clark J Radcliffe
Journal:  J Biomech       Date:  2013-10-22       Impact factor: 2.712

10.  Identifying intrinsic and reflexive contributions to low-back stabilization.

Authors:  P van Drunen; E Maaswinkel; F C T van der Helm; J H van Dieën; R Happee
Journal:  J Biomech       Date:  2013-04-09       Impact factor: 2.712

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  2 in total

1.  Feasibility of Incorporating Test-Retest Reliability and Model Diversity in Identification of Key Neuromuscular Pathways During Head Position Tracking.

Authors:  Ahmed Ramadan; Jongeun Choi; Jacek Cholewicki; N Peter Reeves; John M Popovich; Clark J Radcliffe
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-01-10       Impact factor: 3.802

2.  Quantifying trunk neuromuscular control using seated balancing and stability threshold.

Authors:  N Peter Reeves; Victor Giancarlo Sal Y Rosas Celi; Ahmed Ramadan; John M Popovich; Clark J Radcliffe; Jongeun Choi; Jacek Cholewicki
Journal:  J Biomech       Date:  2020-09-09       Impact factor: 2.712

  2 in total

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