Literature DB >> 2745465

Quantitation of human shoulder anatomy for prosthetic arm control--II. Anatomy matrices.

J E Wood1, S G Meek, S C Jacobsen.   

Abstract

Part I presented mathematically continuous surfaces and origin-to-insertion centroidal trajectory data for the muscles of the human shoulder. Part II presents linear trajectory data for the same muscles, in addition to kinematic descriptions of the joints. 'Anatomy' matrices for musculature, which convert muscle forces (as estimated by cutaneously monitored EMG signals) to moments, within a prosthetic arm controller, are developed for both the linear and non-linear (centroidal) data, and then compared. Graphical analyses of the muscle functions are also presented via computer-generated 'circle diagrams'.

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Year:  1989        PMID: 2745465     DOI: 10.1016/0021-9290(89)90045-6

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


  12 in total

1.  Long-latency reflexes of elbow and shoulder muscles suggest reciprocal excitation of flexors, reciprocal excitation of extensors, and reciprocal inhibition between flexors and extensors.

Authors:  Isaac Kurtzer; Jenna Meriggi; Nidhi Parikh; Kenneth Saad
Journal:  J Neurophysiol       Date:  2016-02-10       Impact factor: 2.714

2.  Rotation-abduction analysis in 10 normal and 20 pathologic shoulders. Elite system application.

Authors:  J L Leroux; J P Micallef; F Bonnel; F Blotman
Journal:  Surg Radiol Anat       Date:  1992       Impact factor: 1.246

3.  Human arm stiffness characteristics during the maintenance of posture.

Authors:  T Flash; F Mussa-Ivaldi
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

4.  Directional tuning of single motor units.

Authors:  U Herrmann; M Flanders
Journal:  J Neurosci       Date:  1998-10-15       Impact factor: 6.167

5.  Postural dependence of muscle actions: implications for neural control.

Authors:  C A Buneo; J F Soechting; M Flanders
Journal:  J Neurosci       Date:  1997-03-15       Impact factor: 6.167

6.  The moment arms of the muscles spanning the glenohumeral joint: a systematic review.

Authors:  Freya Hik; David C Ackland
Journal:  J Anat       Date:  2018-11-08       Impact factor: 2.610

7.  Estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model.

Authors:  Y Koike; M Kawato
Journal:  Biol Cybern       Date:  1995-09       Impact factor: 2.086

8.  Task-dependent differences between mono- and bi-articular heads of the triceps brachii muscle.

Authors:  C J van Groeningen; C J Erkelens
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

9.  Electromyographic correlates of learning an internal model of reaching movements.

Authors:  K A Thoroughman; R Shadmehr
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

10.  Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models.

Authors:  M Katayama; M Kawato
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

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