Literature DB >> 4065278

Roles of the elements of the triphasic control signal.

B Hannaford, L Stark.   

Abstract

In fast (time-optimal) movements about many joint systems, the triphasic EMG pattern has been observed. Although the first agonist burst obviously initiates the movement, the roles of the second and third bursts, appearing in the antagonist and agonist respectively, have been less clear. In this study, the timing of experimentally measured EMG signals led to construction of a three-pulse control signal that produced an accurate simulation of experimentally measured time-optimal head rotations using a sixth-order nonlinear model in conjunction with an optimization algorithm. By ablating pulses from the model control signal and observing the resulting dynamics, the roles of the three pulses can be assessed. As a result, the pulses can be designated PA, the action pulse (for the first agonist burst), PB, the braking pulse (for the antagonist burst), and PC, the clamping pulse (for the second agonist burst). Comparison of dynamic parameters from the simulated movements revealed strategies used to generate control signals for movements of various speeds.

Entities:  

Mesh:

Year:  1985        PMID: 4065278     DOI: 10.1016/0014-4886(85)90160-8

Source DB:  PubMed          Journal:  Exp Neurol        ISSN: 0014-4886            Impact factor:   5.330


  29 in total

1.  The neural control of single degree-of-freedom elbow movements. Effect of starting joint position.

Authors:  Janey Prodoehl; Gerald L Gottlieb; Daniel M Corcos
Journal:  Exp Brain Res       Date:  2003-08-28       Impact factor: 1.972

2.  Muscle activation patterns in point-to-point and reversal movements in healthy, older subjects and in subjects with Parkinson's disease.

Authors:  K D Pfann; J A Robichaud; G L Gottlieb; C L Comella; M Brandabur; D M Corcos
Journal:  Exp Brain Res       Date:  2004-02-26       Impact factor: 1.972

3.  Postural maintenance during movement: simulations of a two joint model.

Authors:  C F Ramos; L W Stark
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

4.  Time optimality in the control of human movements.

Authors:  R Happee
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

5.  Influence of biomechanical factors on substructure of pointing movements.

Authors:  Natalia Dounskaia; Deric Wisleder; Travis Johnson
Journal:  Exp Brain Res       Date:  2005-04-26       Impact factor: 1.972

6.  Dual stable point model of muscle activation and deactivation.

Authors:  C P Chou; B Hannaford
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

7.  The role of different submovement types during pointing to a target.

Authors:  Deric Wisleder; Natalia Dounskaia
Journal:  Exp Brain Res       Date:  2006-07-07       Impact factor: 1.972

8.  Reciprocal and coactivation commands for fast wrist movements.

Authors:  M F Levin; A G Feldman; T E Milner; Y Lamarre
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

9.  Postural maintenance during fast forward bending: a model simulation experiment determines the "reduced trajectory".

Authors:  C F Ramos; L W Stark
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

10.  Origins of submovements during pointing movements.

Authors:  Laetitia Fradet; Gyusung Lee; Natalia Dounskaia
Journal:  Acta Psychol (Amst)       Date:  2008-06-11
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