Literature DB >> 10365427

Muscle activity in rapid multi-degree-of-freedom elbow movements: solutions from a musculoskeletal model.

R V Gonzalez1, L D Abraham, R E Barr, T S Buchanan.   

Abstract

The activity of certain muscles that cross the elbow joint complex (EJC) are affected by forearm position and forearm movement during elbow flexion/extension. To investigate whether these changes are based on the musculoskeletal geometry of the joint, a three-dimensional musculotendinoskeletal computer model of the EJC was used to estimate individual muscle activity in multi-degree-of-freedom (df) rapid (ballistic) elbow movements. It is hypothesized that this model could reproduce the major features of elbow muscle activity during multi-df elbow movements using dynamic optimal control theory, given a minimum-time performance criterion. Results from the model are presented and verified with experimental kinematic and electromyographic data from movements that involved both one-df elbow flexion/extension and two-df flexion/extension with forearm pronation/supination. The model demonstrated how the activity of particular muscles is affected by both forearm position and movement, as measured in these experiments and as previously reported by others. These changes were most evident in the flexor muscles and least evident in the extensor muscles. The model also indicated that, for specific one- and two-df movements, activating a muscle that is antagonistic or noncontributory to the movement could reduce the movement time. The major features of muscle activity in multi-df elbow movements appear to be highly dependent on the joint's musculoskeletal geometry and are not strictly based on neural influences or neuroanatomical substrates.

Entities:  

Mesh:

Year:  1999        PMID: 10365427     DOI: 10.1007/s004220050531

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  4 in total

1.  A computational model for optimal muscle activity considering muscle viscoelasticity in wrist movements.

Authors:  Hiroyuki Kambara; Duk Shin; Yasuharu Koike
Journal:  J Neurophysiol       Date:  2013-01-16       Impact factor: 2.714

2.  Implantable myoelectric sensors (IMESs) for intramuscular electromyogram recording.

Authors:  Richard F ff Weir; Phil R Troyk; Glen A DeMichele; Douglas A Kerns; Jack F Schorsch; Huub Maas
Journal:  IEEE Trans Biomed Eng       Date:  2009-01       Impact factor: 4.538

3.  Combined Ultrasound Imaging and Biomechanical Modeling to Estimate Triceps Brachii Musculotendon Changes in Stroke Survivors.

Authors:  Le Li; Raymond Kai-Yu Tong
Journal:  Biomed Res Int       Date:  2016-12-08       Impact factor: 3.411

4.  Musculoskeletal Model Development of the Elbow Joint with an Experimental Evaluation.

Authors:  Munsur Rahman; Mohsen Sharifi Renani; Akin Cil; Antonis P Stylianou
Journal:  Bioengineering (Basel)       Date:  2018-04-20
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.