Literature DB >> 11738638

A real-time EMG-driven virtual arm.

Kurt Manal1, Roger V Gonzalez, David G Lloyd, Thomas S Buchanan.   

Abstract

An EMG-driven virtual arm is being developed in our laboratories for the purposes of studying neuromuscular control of arm movements. The virtual arm incorporates the major muscles spanning the elbow joint and is used to estimate tension developed by individual muscles based on recorded electromyograms (EMGs). It is able to estimate joint moments and the corresponding virtual movements, which are displayed in real-time on a computer screen. In addition, the virtual arm offers artificial control over a variety of physiological and environmental conditions. The virtual arm can be used to examine how the neuromuscular system compensates for the partial or total loss of a muscle's ability to generate force as might result from trauma or pathology. The purpose of this paper is to describe the design objectives, fundamental components and implementation of our real-time, EMG-driven virtual arm.

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Year:  2002        PMID: 11738638     DOI: 10.1016/s0010-4825(01)00024-5

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  23 in total

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2.  Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command.

Authors:  Thomas S Buchanan; David G Lloyd; Kurt Manal; Thor F Besier
Journal:  J Appl Biomech       Date:  2004-11       Impact factor: 1.833

3.  A probabilistic model of glenohumeral external rotation strength for healthy normals and rotator cuff tear cases.

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4.  Neural representation of muscle dynamics in voluntary movement control.

Authors:  Christopher J Hasson
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5.  Proportional myoelectric control of a virtual object to investigate human efferent control.

Authors:  Keith E Gordon; Daniel P Ferris
Journal:  Exp Brain Res       Date:  2004-07-16       Impact factor: 1.972

6.  Feasibility of EMG-based neural network controller for an upper extremity neuroprosthesis.

Authors:  Juan Gabriel Hincapie; Robert F Kirsch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02       Impact factor: 3.802

7.  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

8.  An EMG-driven model to estimate muscle forces and joint moments in stroke patients.

Authors:  Qi Shao; Daniel N Bassett; Kurt Manal; Thomas S Buchanan
Journal:  Comput Biol Med       Date:  2009-10-08       Impact factor: 4.589

9.  Minimally invasive high-speed imaging of sarcomere contractile dynamics in mice and humans.

Authors:  Michael E Llewellyn; Robert P J Barretto; Scott L Delp; Mark J Schnitzer
Journal:  Nature       Date:  2008-07-06       Impact factor: 49.962

10.  Finite Element Analysis Examining the Effects of Cam FAI on Hip Joint Mechanical Loading Using Subject-Specific Geometries During Standing and Maximum Squat.

Authors:  K C Geoffrey Ng; Gholamreza Rouhi; Mario Lamontagne; Paul E Beaulé
Journal:  HSS J       Date:  2012-09-07
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