Literature DB >> 20719610

Goal-directed arm movements: I. Analysis of EMG records in shoulder and elbow muscles.

R Happee1.   

Abstract

The coordinated control of shoulder and elbow muscles during goaldirected arm movements has been studied. Timing and amplitude of the electromyographic activity of 13 muscles and muscle parts have been analyzed. Triphasic alternating agonist-antagonist activity commonly associated with acceleration and deceleration of the limb has been found in eight shoulder muscles or muscle parts. Of these muscles, the pectoralis major (pars clavicularis), the deltoideus (pars anterior and posterior), and the latissimus dorsi act on the humerus and can be regarded as prime movers of the upper arm. The serratus anterior and the trapezius (pars descendens, transversalis, and ascendens) act on the scapula. In these scapular muscles, agonist activity similar to that in the prime movers has been found. This indicates an important role of scapular muscles during acceleration of the arm. Significant diferences in timing between synergist muscles have been demonstrated: Activity of the latissimus dorsi precedes the deltoideus pars posterior by up to 62 ms. Only minor differences in timing were observed between scapular muscles and prime movers. In biarticular (shoulder and elbow) muscles and in muscles acting only on the elbow, continued activity has been observed throughout the movement. This activity yielded coactivation of functional antagonist muscles. The movement direction in which the largest activity occurred is consistent with the function of overcoming a resistance in the elbow resulting from the cocontraction found.
Copyright © 1992. Published by Elsevier Ltd.

Entities:  

Year:  1992        PMID: 20719610     DOI: 10.1016/1050-6411(92)90014-A

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  5 in total

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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-09       Impact factor: 3.802

2.  Learning combined feedback and feedforward control of a musculoskeletal system.

Authors:  S Stroeve
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3.  Reaching to ipsilateral or contralateral targets: within-hemisphere visuomotor processing cannot explain hemispatial differences in motor control.

Authors:  D P Carey; E L Hargreaves; M A Goodale
Journal:  Exp Brain Res       Date:  1996-12       Impact factor: 1.972

4.  The use of internal representation in fast gold-directed movements: a modeling approach.

Authors:  V G Gerdes; R Happee
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

5.  Artificial neural network model of the mapping between electromyographic activation and trajectory patterns in free-arm movements.

Authors:  L Dipietro; A M Sabatini; P Dario
Journal:  Med Biol Eng Comput       Date:  2003-03       Impact factor: 3.079

  5 in total

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