Literature DB >> 18586604

Musculoskeletal model-guided, customizable selection of shoulder and elbow muscles for a C5 SCI neuroprosthesis.

Juan Gabriel Hincapie1, Dimitra Blana, Edward K Chadwick, Robert F Kirsch.   

Abstract

Individuals with C5/C6 spinal cord injury (SCI) have a number of paralyzed muscles in their upper extremities that can be electrically activated in a coordinated manner to restore function. The selection of a practical subset of paralyzed muscles for stimulation depends on the specific condition of the individual, the functions targeted for restoration, and surgical considerations. This paper presents a musculoskeletal model-based approach for optimizing the muscle set used for functional electrical stimulation (FES) of the shoulder and elbow in this population. Experimentally recorded kinematics from able-bodied subjects served as inputs to a musculoskeletal model of the shoulder and elbow, which was modified to reflect the reduced muscle force capacities of an individual with C5 SCI but also the potential of using FES to activate paralyzed muscles. A large number of inverse dynamic simulations mimicking typical activities of daily living were performed that included 1) muscles with retained voluntary control and 2) many different combinations of stimulated paralyzed muscles. These results indicate that a muscle set consisting of the serratus anterior, infraspinatus and triceps would enable the greatest range of relevant movements. This set will become the initial target in a C5SCI neuroprosthesis to restore shoulder and elbow function.

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Year:  2008        PMID: 18586604      PMCID: PMC2971676          DOI: 10.1109/TNSRE.2008.922681

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  23 in total

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Journal:  Clin Biomech (Bristol, Avon)       Date:  2004-02       Impact factor: 2.063

Review 4.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand.

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Journal:  J Biomech       Date:  2005-05       Impact factor: 2.712

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Journal:  Clin Biomech (Bristol, Avon)       Date:  1993-09       Impact factor: 2.063

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Journal:  J Biomech       Date:  1994-05       Impact factor: 2.712

Review 7.  Functional neuromuscular stimulation neuroprostheses for the tetraplegic hand.

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Journal:  Clin Orthop Relat Res       Date:  1988-08       Impact factor: 4.176

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Journal:  IEEE Trans Rehabil Eng       Date:  1996-12

9.  An elbow extension neuroprosthesis for individuals with tetraplegia.

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Journal:  Arch Phys Med Rehabil       Date:  1990-05       Impact factor: 3.966

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  8 in total

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Authors:  Christopher L Pulliam; Joris M Lambrecht; Robert F Kirsch
Journal:  J Rehabil Res Dev       Date:  2011

2.  Improving Musculoskeletal Model Scaling Using an Anatomical Atlas: The Importance of Gender and Anthropometric Similarity to Quantify Joint Reaction Forces.

Authors:  Ziyun Ding; Chui K Tsang; Daniel Nolte; Angela E Kedgley; Anthony M J Bull
Journal:  IEEE Trans Biomed Eng       Date:  2019-03-28       Impact factor: 4.538

Review 3.  Clinical applications of musculoskeletal modelling for the shoulder and upper limb.

Authors:  Bart Bolsterlee; Dirkjan H E J Veeger; Edward K Chadwick
Journal:  Med Biol Eng Comput       Date:  2013-07-20       Impact factor: 2.602

4.  Adaptive neuron-to-EMG decoder training for FES neuroprostheses.

Authors:  Christian Ethier; Daniel Acuna; Sara A Solla; Lee E Miller
Journal:  J Neural Eng       Date:  2016-06-01       Impact factor: 5.379

5.  3D finite element models of shoulder muscles for computing lines of actions and moment arms.

Authors:  Joshua D Webb; Silvia S Blemker; Scott L Delp
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-09-20       Impact factor: 1.763

6.  Stimulation stability and selectivity of chronically implanted multicontact nerve cuff electrodes in the human upper extremity.

Authors:  Katharine H Polasek; Harry A Hoyen; Michael W Keith; Robert F Kirsch; Dustin J Tyler
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-09-22       Impact factor: 3.802

7.  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

8.  Musculoskeletal model of trunk and hips for development of seated-posture-control neuroprosthesis.

Authors:  Joris M Lambrecht; Musa L Audu; Ronald J Triolo; Robert F Kirsch
Journal:  J Rehabil Res Dev       Date:  2009
  8 in total

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