Literature DB >> 2204515

System identification of human joint dynamics.

R E Kearney1, I W Hunter.   

Abstract

The dynamics of joint mechanics are a fundamental characteristic of the motor system. They determine the displacements evoked by perturbing forces during postural control and the forces that must be generated to perform a voluntary movement. This article reviews experimental studies of these dynamics, with an emphasis on the behavior of single joints in alert humans. Technical aspects of the experimental and analytic methods that have been used are summarized first. Major results obtained with the different methods are then reviewed, compared, and contrasted. The interpretation of these results in terms of the underlying physiological mechanisms is then considered, with an emphasis on the relative contributions of passive properties of tissue, the mechanical behavior of muscle, and stretch reflexes. Finally, important unanswered questions regarding the dynamics of joint mechanics are reviewed.

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Year:  1990        PMID: 2204515

Source DB:  PubMed          Journal:  Crit Rev Biomed Eng        ISSN: 0278-940X


  80 in total

1.  Identification of physiological systems: estimation of linear time-varying dynamics with non-white inputs and noisy outputs.

Authors:  M Lortie; R E Kearney
Journal:  Med Biol Eng Comput       Date:  2001-05       Impact factor: 2.602

2.  Quantitative analysis of the velocity related pathophysiology of spasticity and rigidity in the elbow flexors.

Authors:  H-M Lee; Y-Z Huang; J-J J Chen; I-S Hwang
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-05       Impact factor: 10.154

3.  Contributions of feed-forward and feedback strategies at the human ankle during control of unstable loads.

Authors:  James M Finley; Yasin Y Dhaher; Eric J Perreault
Journal:  Exp Brain Res       Date:  2011-12-15       Impact factor: 1.972

4.  Multijoint dynamics and postural stability of the human arm.

Authors:  Eric J Perreault; Robert F Kirsch; Patrick E Crago
Journal:  Exp Brain Res       Date:  2004-04-27       Impact factor: 1.972

5.  Efficient estimation of time-varying intrinsic and reflex stiffness.

Authors:  Daniel Ludvig; Eric J Perreault; Robert E Kearney
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

6.  Estimation of joint impedance using short data segments.

Authors:  Daniel Ludvig; Eric J Perreault
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

Review 7.  Assessing musculo-articular stiffness using free oscillations: theory, measurement and analysis.

Authors:  Massimiliano Ditroilo; Mark Watsford; Aron Murphy; Giuseppe De Vito
Journal:  Sports Med       Date:  2011-12-01       Impact factor: 11.136

8.  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

9.  System identification of physiological systems using short data segments.

Authors:  Daniel Ludvig; Eric J Perreault
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-28       Impact factor: 4.538

10.  Ankle Mechanical Impedance During Waling in Chronic Stroke: Preliminary Results.

Authors:  Amanda L Shorter; Suzanne Finucane; Elliott J Rouse
Journal:  IEEE Int Conf Rehabil Robot       Date:  2019-06
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