Literature DB >> 23765130

Empirical quantification of internal and external rotation muscular co-activation ratios in healthy shoulders.

Rebecca L Brookham1, Clark R Dickerson.   

Abstract

Biomechanical models used to estimate joint loads often predict that antagonistic muscles are inactive or underestimate their contributions [3, 5]. This can result in systematic underestimation of muscle force predictions and joint contact forces. To test the feasibility of employing an empirical co-activation ratio to improve shoulder muscle force modeling estimates, it was purposed to define the co-activation relationship between humeral internal and external rotator muscles in young healthy adults. Electromyography was recorded from rotator cuff and shoulder musculature of 20 adults. Participants performed 54 submaximal voluntary force exertions of humeral internal and external rotation at various humeral abduction and rotation postures. Empirical co-activation relationships for aggregates of humeral internal and external rotators (non-weighted and PCSA-weighted versions) were well characterized by regression models (r (2) = 0.62-0.70) during internal rotation exertions, but only moderately well (r (2) = 0.35-0.42) during external rotation exertions. Humeral abduction and intensity were important predictors in both exertion types. There was no or minimal improvement in r (2) using PCSA-weighted CIs, suggesting low utility. Quantification and implementation of shoulder co-activation into biomechanical models may improve muscle force and joint load estimates, which could assist in more reliable injury risk and tissue load predictions.

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Year:  2013        PMID: 23765130     DOI: 10.1007/s11517-013-1081-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  19 in total

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2.  Are hamstrings activated to counteract shear forces during isometric knee extension efforts in healthy subjects?

Authors:  Idsart Kingma; Sietske Aalbersberg; Jaap H van Dieën
Journal:  J Electromyogr Kinesiol       Date:  2004-06       Impact factor: 2.368

3.  Extrapolation of an empirical elbow muscle co-activation relationship to a novel task set: implications for predictions of individual muscle demands.

Authors:  Erin E Middlebrook; Rebecca L Brookham; Clark R Dickerson
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-03-02       Impact factor: 1.763

4.  Active trunk stiffness increases with co-contraction.

Authors:  Patrick J Lee; Ellen L Rogers; Kevin P Granata
Journal:  J Electromyogr Kinesiol       Date:  2005-08-15       Impact factor: 2.368

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Journal:  J Biomech       Date:  1990       Impact factor: 2.712

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Authors:  G Németh; M Kronberg; L A Broström
Journal:  J Orthop Res       Date:  1990-01       Impact factor: 3.494

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Journal:  Exerc Sport Sci Rev       Date:  1989       Impact factor: 6.230

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Authors:  F C van der Helm
Journal:  J Biomech       Date:  1994-05       Impact factor: 2.712

9.  Inertia and muscle contraction parameters for musculoskeletal modelling of the shoulder mechanism.

Authors:  H E Veeger; F C Van der Helm; L H Van der Woude; G M Pronk; R H Rozendal
Journal:  J Biomech       Date:  1991       Impact factor: 2.712

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Authors:  K P Granata; S E Wilson; A K Massimini; R Gabriel
Journal:  J Electromyogr Kinesiol       Date:  2004-10       Impact factor: 2.368

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  1 in total

1.  Shoulder biomechanics and the success of translational research.

Authors:  Andrea Giovanni Cutti; Edward K Chadwick
Journal:  Med Biol Eng Comput       Date:  2014-03       Impact factor: 2.602

  1 in total

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