Literature DB >> 8509826

Time-varying mechanical behavior of multijointed arm in man.

F Lacquaniti1, M Carrozzo, N A Borghese.   

Abstract

1. The aim of this study was to describe the time-varying changes in the mechanical parameters of a multijointed limb. The parameters we considered are the coefficients of stiffness, viscosity, and inertia. Continuous pseudorandom perturbations were applied at the elbow joint during a catching task. A modified version of an ensemble technique was used for the identification of time-varying parameters. Torques at the elbow and wrist joints were then modeled with a linear combination of the changes in angular position and velocity weighted by the matrix of angular stiffness and the matrix of angular viscosity, respectively. Control experiments were also performed that involved the stationary maintenance of a given limb posture by resisting actively the applied perturbations. Different limb postures were examined in each such experiment to investigate the dependence of the mechanical parameters on limb geometry. 2. The technique for the identification of limb mechanical parameters proved adequate. The input perturbations applied at the elbow joint elicited angular oscillations at the wrist essentially uncorrelated with those produced at the elbow. The frequency of oscillation is much higher at the wrist than at the elbow, mainly because of the smaller inertia. The variance accounted for by the model was approximately 80% under both stationary and time-varying conditions; in the latter case the value did not vary significantly throughout the task. In addition, the model predicted values of the inertial parameters that were close to the anthropometric measures, and it reproduced the stepwise increase in limb inertia that occurs at the time the ball is held in the hand. 3. The values of angular stiffness and viscosity estimated under stationary conditions did not vary significantly with joint angle, in agreement with previous results obtained under quasi-static postural conditions. The matrix of the coefficients of angular stiffness was not symmetrical, indicating a prominent role for nonautogenic reflex feedbacks with unequal gains for elbow and wrist muscles. 4. A complex temporal modulation of angular stiffness and viscosity was observed during the catching task. The changes in the direct coefficients of angular stiffness tended to covary with those in the coupling coefficients from trial start up to approximately 30 ms before impact time. Around impact time, however, there was a complete dissociation: the direct terms peaked, whereas the coupling terms dropped. The direct terms of angular viscosity also increased before impact, whereas the viscosity coupling terms remained close to zero throughout.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1993        PMID: 8509826     DOI: 10.1152/jn.1993.69.5.1443

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  35 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.  Learning the dynamics of reaching movements results in the modification of arm impedance and long-latency perturbation responses.

Authors:  T Wang; G S Dordevic; R Shadmehr
Journal:  Biol Cybern       Date:  2001-12       Impact factor: 2.086

3.  The role of vision, speed, and attention in overcoming directional biases during arm movements.

Authors:  Natalia Dounskaia; Jacob A Goble
Journal:  Exp Brain Res       Date:  2011-01-29       Impact factor: 1.972

4.  Modulation of elbow joint stiffness in a vertical plane during cyclic movement at lower or higher frequencies than natural frequency.

Authors:  Masaki O Abe; Norimasa Yamada
Journal:  Exp Brain Res       Date:  2003-09-25       Impact factor: 1.972

5.  Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics.

Authors:  David W Franklin; Etienne Burdet; Rieko Osu; Mitsuo Kawato; Theodore E Milner
Journal:  Exp Brain Res       Date:  2003-05-29       Impact factor: 1.972

6.  Adaptive control of stiffness to stabilize hand position with large loads.

Authors:  David W Franklin; Theodore E Milner
Journal:  Exp Brain Res       Date:  2003-07-05       Impact factor: 1.972

7.  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

8.  Estimation of joint impedance using short data segments.

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

9.  Prehension stability: experiments with expanding and contracting handle.

Authors:  Vladimir M Zatsiorsky; Fan Gao; Mark L Latash
Journal:  J Neurophysiol       Date:  2005-11-30       Impact factor: 2.714

10.  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

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