Literature DB >> 27477710

A simplified marker set to define the center of mass for stability analysis in dynamic situations.

R Tisserand1, T Robert2, R Dumas1, L Chèze1.   

Abstract

The extrapolated center of mass (XCoM), a valuable tool to assess balance stability, involves defining the whole body center of mass (CoMWB). However, accurate three-dimensional estimation of the CoMWB is time consuming, a severe limitation in certain applications. In this study, twenty-four subjects (young and elderly, male and female) performed three different balance tasks: quiet standing, gait and balance recovery. Three different models, based on a segmental method, were used to estimate the three-dimensional CoMWB absolute position during these movements: a reference model based on 38 markers, a simplified 13-marker model and a single marker (sacral) model. CoMWB and XCoM estimations from the proposed simplified model came closer to the reference model than estimations from the sacral marker model. It remained accurate for dynamic tasks, where the sacral marker model proved inappropriate. The simplified model proposed here yields accurate three-dimensional estimation of both the CoMWB and the XCoM with a limited number of markers. Importantly, using this model would reduce the experimental and post-processing times for future balance studies assessing dynamic stability in humans.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Balance; Center of mass; Gait; Motion capture; Posture

Mesh:

Year:  2016        PMID: 27477710     DOI: 10.1016/j.gaitpost.2016.04.032

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


  6 in total

1.  Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study.

Authors:  Emeline Simonetti; Elena Bergamini; Giuseppe Vannozzi; Joseph Bascou; Hélène Pillet
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

2.  Gait Stability Training in a Virtual Environment Improves Gait and Dynamic Balance Capacity in Incomplete Spinal Cord Injury Patients.

Authors:  Rosanne B van Dijsseldonk; Lysanne A F de Jong; Brenda E Groen; Marije Vos-van der Hulst; Alexander C H Geurts; Noel L W Keijsers
Journal:  Front Neurol       Date:  2018-11-20       Impact factor: 4.003

Review 3.  The Motion of Body Center of Mass During Walking: A Review Oriented to Clinical Applications.

Authors:  Luigi Tesio; Viviana Rota
Journal:  Front Neurol       Date:  2019-09-20       Impact factor: 4.003

4.  Computation of Gait Parameters in Post Stroke and Parkinson's Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems.

Authors:  Veronica Cimolin; Luca Vismara; Claudia Ferraris; Gianluca Amprimo; Giuseppe Pettiti; Roberto Lopez; Manuela Galli; Riccardo Cremascoli; Serena Sinagra; Alessandro Mauro; Lorenzo Priano
Journal:  Sensors (Basel)       Date:  2022-01-21       Impact factor: 3.576

5.  Use of the margin of stability to quantify stability in pathologic gait - a qualitative systematic review.

Authors:  Fraje Watson; Peter C Fino; Matthew Thornton; Constantinos Heracleous; Rui Loureiro; Julian J H Leong
Journal:  BMC Musculoskelet Disord       Date:  2021-06-28       Impact factor: 2.362

6.  Adaptation of balancing behaviour during continuous perturbations of stance. Supra-postural visual tasks and platform translation frequency modulate adaptation rate.

Authors:  Stefania Sozzi; Antonio Nardone; Marco Schieppati
Journal:  PLoS One       Date:  2020-07-31       Impact factor: 3.240

  6 in total

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