Literature DB >> 24001870

Effectiveness of different visual biofeedback signals for human balance improvement.

Zuzana Halická1, Jana Lobotková, Kristína Bučková, František Hlavačka.   

Abstract

The aim of this study was to examine the effectiveness of visual biofeedback (VBF) signals from a force platform and accelerometer sensors placed on different body segments. The study was performed on 20 young subjects during standing on a firm and foam support surface with a VBF signal sensed from CoP, lower trunk (L5) and upper trunk (Th4). The VBF signal was controlled by 2D-movement of chosen body segment, which was presented as a red point on a monitor screen. Location of VBF signal had a significant effect on each postural parameter of CoP and trunk segments. RMS and amplitudes of postural sway in medial-lateral and anterior-posterior directions decreased during standing on both types of support surface due to VBF. L5-VBF and CoP-VBF significantly reduced CoP displacements and lower trunk tilts. Th4-VBF reduced upper trunk tilts. Frequency analysis of postural sway revealed a decrease of power spectral density (PSD) values in low frequency range (0.02-0.3Hz) and an increase of PSD values in higher frequency range (0.5-1.4 Hz) in the VBF conditions during the stance on the firm surface in anterior-posterior direction. Reduction of body sway was the most significant in the body segment from which the VBF signal was sensed. The CoP position and L5 position provided the best signals for VBF. Changes in frequency ranges of body sway suggest voluntary activation of balance control. The results open new opportunities to optimize VBF system for balance improvement using accelerometers.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometer; Body segment; Centre of pressure; Postural control; Visual biofeedback

Mesh:

Year:  2013        PMID: 24001870     DOI: 10.1016/j.gaitpost.2013.08.005

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


  18 in total

1.  Automatically Evaluating Balance: A Machine Learning Approach.

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2.  Does the type of visual feedback information change the control of standing balance?

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3.  Postural strategies assessed with inertial sensors in healthy and parkinsonian subjects.

Authors:  Chiara Baston; Martina Mancini; Bernadette Schoneburg; Fay Horak; Laura Rocchi
Journal:  Gait Posture       Date:  2014-03-02       Impact factor: 2.840

4.  Trunk motion visual feedback during walking improves dynamic balance in older adults: Assessor blinded randomized controlled trial.

Authors:  Eric Anson; Lei Ma; Tippawan Meetam; Elizabeth Thompson; Roshita Rathore; Victoria Dean; John Jeka
Journal:  Gait Posture       Date:  2018-03-28       Impact factor: 2.840

5.  Effects of long-term vestibular rehabilitation therapy with vibrotactile sensory augmentation for people with unilateral vestibular disorders - A randomized preliminary study.

Authors:  Tian Bao; Brooke N Klatt; Wendy J Carender; Catherine Kinnaird; Saud Alsubaie; Susan L Whitney; Kathleen H Sienko
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6.  The Effect of Continuous and Discretized Presentations of Concurrent Augmented Visual Biofeedback on Postural Control in Quiet Stance.

Authors:  Carmen D'Anna; Maurizio Schmid; Daniele Bibbo; Maurizio Bertollo; Silvia Comani; Silvia Conforto
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

7.  Analysis of human standing balance by largest lyapunov exponent.

Authors:  Kun Liu; Hongrui Wang; Jinzhuang Xiao; Zahari Taha
Journal:  Comput Intell Neurosci       Date:  2015-03-18

8.  Learning Upright Standing on a Multiaxial Balance Board.

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Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

Review 9.  Balance Improvement Effects of Biofeedback Systems with State-of-the-Art Wearable Sensors: A Systematic Review.

Authors:  Christina Zong-Hao Ma; Duo Wai-Chi Wong; Wing Kai Lam; Anson Hong-Ping Wan; Winson Chiu-Chun Lee
Journal:  Sensors (Basel)       Date:  2016-03-25       Impact factor: 3.576

10.  Effects of long-term balance training with vibrotactile sensory augmentation among community-dwelling healthy older adults: a randomized preliminary study.

Authors:  Tian Bao; Wendy J Carender; Catherine Kinnaird; Vincent J Barone; Geeta Peethambaran; Susan L Whitney; Mohammed Kabeto; Rachael D Seidler; Kathleen H Sienko
Journal:  J Neuroeng Rehabil       Date:  2018-01-18       Impact factor: 4.262

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