Literature DB >> 21571278

Multivariable static ankle mechanical impedance with relaxed muscles.

Hyunglae Lee1, Patrick Ho, Mohammad A Rastgaar, Hermano I Krebs, Neville Hogan.   

Abstract

Quantitative characterization of ankle mechanical impedance is important to understand how the ankle supports lower-extremity functions during interaction with the environment. This paper reports a novel procedure to characterize static multivariable ankle mechanical impedance. An experimental protocol using a wearable therapeutic robot, Anklebot, enabled reliable measurement of torque and angle data in multiple degrees of freedom simultaneously, a combination of inversion-eversion and dorsiflexion-plantarflexion. The measured multivariable torque-angle relation was represented as a vector field, and approximated using a method based on thin-plate spline smoothing with generalized cross validation. The vector field enabled assessment of several important characteristics of static ankle mechanical impedance, which are not available from prior single degree of freedom studies: the directional variation of ankle mechanical impedance, the extent to which the ankle behaves as a spring, and evidence of uniquely neural contributions. The method was validated by testing a simple physical "mock-up" consisting of passive elements. Experiments with young unimpaired subjects quantified the behavior of the maximally relaxed human ankle, showing that ankle mechanical impedance is spring-like but strongly direction-dependent, being weakest in inversion. Remarkably, the analysis was sufficiently sensitive to detect a subtle but statistically significant deviation from spring-like behavior if subjects were not fully relaxed. This method may provide new insight about the function of the ankle, both unimpaired and after biomechanical or neurological injury.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21571278     DOI: 10.1016/j.jbiomech.2011.04.028

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


  9 in total

1.  Multivariable dynamic ankle mechanical impedance with relaxed muscles.

Authors:  Hyunglae Lee; Hermano Igo Krebs; Neville Hogan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-03-26       Impact factor: 3.802

2.  A controller for walking derived from how humans recover from perturbations.

Authors:  Varun Joshi; Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2019-08-14       Impact factor: 4.118

3.  Robot-assisted gait training versus treadmill training in patients with Parkinson's disease: a kinematic evaluation with gait profile score.

Authors:  M Galli; V Cimolin; M F De Pandis; D Le Pera; I Sova; G Albertini; F Stocchi; M Franceschini
Journal:  Funct Neurol       Date:  2016 Jul-Sep

4.  Multivariable dynamic ankle mechanical impedance with active muscles.

Authors:  Hyunglae Lee; Hermano Igo Krebs; Neville Hogan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-09       Impact factor: 3.802

5.  Mechanical Impedance of the Non-loaded Lower Leg with Relaxed Muscles in the Transverse Plane.

Authors:  Evandro Maicon Ficanha; Guilherme Aramizo Ribeiro; Mohammad Rastgaar
Journal:  Front Bioeng Biotechnol       Date:  2015-12-08

6.  Gait detection in children with and without hemiplegia using single-axis wearable gyroscopes.

Authors:  Nicole Abaid; Paolo Cappa; Eduardo Palermo; Maurizio Petrarca; Maurizio Porfiri
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

7.  A Comparative Analysis of Speed Profile Models for Ankle Pointing Movements: Evidence that Lower and Upper Extremity Discrete Movements are Controlled by a Single Invariant Strategy.

Authors:  Konstantinos P Michmizos; Lev Vaisman; Hermano Igo Krebs
Journal:  Front Hum Neurosci       Date:  2014-11-27       Impact factor: 3.169

8.  Sex Differences in Human Ankle Stiffness During Standing Balance.

Authors:  Ermyntrude Adjei; Varun Nalam; Hyunglae Lee
Journal:  Front Sports Act Living       Date:  2020-10-09

9.  Robot-assisted walking training for individuals with Parkinson's disease: a pilot randomized controlled trial.

Authors:  Patrizio Sale; Maria Francesca De Pandis; Domenica Le Pera; Ivan Sova; Veronica Cimolin; Andrea Ancillao; Giorgio Albertini; Manuela Galli; Fabrizio Stocchi; Marco Franceschini
Journal:  BMC Neurol       Date:  2013-05-24       Impact factor: 2.474

  9 in total

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