Literature DB >> 30516241

Dynamic Balance during Human Movement: Measurement and Control Mechanisms.

Richard Neptune1, Arian Vistamehr2.   

Abstract

Walking can be exceedingly complex to analyze due to highly nonlinear multi-body dynamics, nonlinear relationships between muscle excitations and resulting muscle forces, dynamic coupling that allows muscles to accelerate joints and segments they do not span, and redundant muscle control. Walking requires the successful execution of a number of biomechanical functions such as providing body support, forward propulsion and balance control, with specific muscle groups contributing to their execution. Thus, muscle injury or neurological impairment that affects muscle output can alter the successful execution of these functions and impair walking performance. The loss of balance control in particular can result in falls and subsequent injuries that lead to the loss of mobility and functional independence. Thus, it is important to assess the mechanisms used to control balance in clinical populations using reliable methods with the ultimate goal of improving rehabilitation outcomes. In this review, we highlight common clinical and laboratory-based measures used to assess balance control and their potential limitations, show how these measures have been used to analyze balance in several clinical populations, and consider the translation of specific laboratory-based measures from the research laboratory to the clinic.

Entities:  

Year:  2018        PMID: 30516241      PMCID: PMC6611347          DOI: 10.1115/1.4042170

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  86 in total

Review 1.  Biomechanics and muscle coordination of human walking: part II: lessons from dynamical simulations and clinical implications.

Authors:  Felix E Zajac; Richard R Neptune; Steven A Kautz
Journal:  Gait Posture       Date:  2003-02       Impact factor: 2.840

2.  Lower-limb amputee recovery response to an imposed error in mediolateral foot placement.

Authors:  Ava D Segal; Glenn K Klute
Journal:  J Biomech       Date:  2014-07-30       Impact factor: 2.712

3.  Balance and recovery on coronally-uneven and unpredictable terrain.

Authors:  Kyle H Yeates; Ava D Segal; Richard R Neptune; Glenn K Klute
Journal:  J Biomech       Date:  2016-06-15       Impact factor: 2.712

4.  Functional gait assessment: concurrent, discriminative, and predictive validity in community-dwelling older adults.

Authors:  Diane M Wrisley; Neeraj A Kumar
Journal:  Phys Ther       Date:  2010-04-01

5.  The effect of age on variability in gait.

Authors:  A Gabell; U S Nayak
Journal:  J Gerontol       Date:  1984-11

6.  Stabilisation of walking by intrinsic muscle properties revealed in a three-dimensional muscle-driven simulation.

Authors:  Chand T John; Frank C Anderson; Jill S Higginson; Scott L Delp
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-01-06       Impact factor: 1.763

7.  Dynamic margins of stability during human walking in destabilizing environments.

Authors:  Patricia M McAndrew Young; Jason M Wilken; Jonathan B Dingwell
Journal:  J Biomech       Date:  2012-02-09       Impact factor: 2.712

8.  Incidence and consequences of falls due to stroke: a systematic inquiry.

Authors:  A Forster; J Young
Journal:  BMJ       Date:  1995-07-08

9.  Correlations between measures of dynamic balance in individuals with post-stroke hemiparesis.

Authors:  Arian Vistamehr; Steven A Kautz; Mark G Bowden; Richard R Neptune
Journal:  J Biomech       Date:  2016-01-08       Impact factor: 2.712

10.  Angular momentum in human walking.

Authors:  Hugh Herr; Marko Popovic
Journal:  J Exp Biol       Date:  2008-02       Impact factor: 3.312

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  4 in total

1.  Segmental contribution to whole-body angular momentum during stepping in healthy young and old adults.

Authors:  Jérémie Begue; Nicolas Peyrot; Angélique Lesport; Nicolas A Turpin; Bruno Watier; Georges Dalleau; Teddy Caderby
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

2.  Machine Learning-Based Predicted Age of the Elderly on the Instrumented Timed Up and Go Test and Six-Minute Walk Test.

Authors:  Jeong Bae Ko; Jae Soo Hong; Young Sub Shin; Kwang Bok Kim
Journal:  Sensors (Basel)       Date:  2022-08-09       Impact factor: 3.847

Review 3.  Review of the Upright Balance Assessment Based on the Force Plate.

Authors:  Baoliang Chen; Peng Liu; Feiyun Xiao; Zhengshi Liu; Yong Wang
Journal:  Int J Environ Res Public Health       Date:  2021-03-08       Impact factor: 3.390

4.  Identification of COM Controller of a Human in Stance Based on Motion Measurement and Phase-Space Analysis.

Authors:  Tomomichi Sugihara; Daishi Kaneta; Nobuyuki Murai
Journal:  Front Robot AI       Date:  2022-01-04
  4 in total

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