Literature DB >> 8884477

A dynamic model for simulating movements of the elbow, forearm, an wrist.

M A Lemay1, P E Crago.   

Abstract

We developed a dynamic model of the upper extremity to simulate forearm and wrist movements. The model is based on the skeletal structure of the arm and is capable of elbow flexion/extension, forearm pronosupination, and wrist flexion/extension and radial/ulnar deviation movements. Movements are produced by activation of a Hill-type model of muscle, and limits on joint motion are imposed by passive moments modeled after experimental results. We investigated the muscle output force sensitivity, as well as wrist flexion/extension motion sensitivity to parameter variations. The tendon slack length and muscle fiber length were found to have the greatest influence on muscle output and flexion/extension wrist motion. The model captured the direction of the moment vectors at the wrist well, but predicted much higher moments than were measured by stimulating the paralyzed muscles of one tetraplegic subject.

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Year:  1996        PMID: 8884477     DOI: 10.1016/0021-9290(96)00026-7

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


  16 in total

1.  Tuned vibration absorber for suppression of rest tremor in Parkinson's disease.

Authors:  S M Hashemi; M F Golnaraghi; A E Patla
Journal:  Med Biol Eng Comput       Date:  2004-01       Impact factor: 2.602

2.  Estimation of hand and wrist muscle capacities in rock climbers.

Authors:  Laurent Vigouroux; Benjamin Goislard de Monsabert; Eric Berton
Journal:  Eur J Appl Physiol       Date:  2014-12-17       Impact factor: 3.078

3.  A scaling method to individualise muscle force capacities in musculoskeletal models of the hand and wrist using isometric strength measurements.

Authors:  Benjamin Goislard de Monsabert; G Rao; A Gay; E Berton; L Vigouroux
Journal:  Med Biol Eng Comput       Date:  2017-06-19       Impact factor: 2.602

4.  Effects of hand configuration on muscle force coordination, co-contraction and concomitant intermuscular coupling during maximal isometric flexion of the fingers.

Authors:  Camille Charissou; David Amarantini; Robin Baurès; Eric Berton; Laurent Vigouroux
Journal:  Eur J Appl Physiol       Date:  2017-09-20       Impact factor: 3.078

5.  A platform for dynamic simulation and control of movement based on OpenSim and MATLAB.

Authors:  Misagh Mansouri; Jeffrey A Reinbolt
Journal:  J Biomech       Date:  2012-03-30       Impact factor: 2.712

6.  Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model.

Authors:  Katherine R Saul; Xiao Hu; Craig M Goehler; Meghan E Vidt; Melissa Daly; Anca Velisar; Wendy M Murray
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-07-04       Impact factor: 1.763

7.  Neuromuscular and biomechanical factors codetermine the solution to motor redundancy in rhythmic multijoint arm movement.

Authors:  Aymar de Rugy; Stephan Riek; Yalchin Oytam; Timothy J Carroll; Rahman Davoodi; Richard G Carson
Journal:  Exp Brain Res       Date:  2008-06-11       Impact factor: 1.972

8.  Factors affecting grip force: anatomy, mechanics, and referent configurations.

Authors:  Satyajit Ambike; Florent Paclet; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-01-31       Impact factor: 1.972

9.  Spinal circuits can accommodate interaction torques during multijoint limb movements.

Authors:  Thomas Buhrmann; Ezequiel A Di Paolo
Journal:  Front Comput Neurosci       Date:  2014-11-11       Impact factor: 2.380

10.  Evaluation of a computational model to predict elbow range of motion.

Authors:  Ryan T Willing; Masao Nishiwaki; James A Johnson; Graham J W King; George S Athwal
Journal:  Comput Aided Surg       Date:  2014-05-19
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