Literature DB >> 19625195

Quantifying 'normal' shoulder muscle activity during abduction.

James Wickham1, Tania Pizzari, Katie Stansfeld, Amanda Burnside, Lyn Watson.   

Abstract

The purpose of this experiment was to obtain electromyographic (EMG) activity from a sample of healthy shoulders to allow a reference database to be developed and used for comparison with pathological shoulders. Temporal and intensity shoulder muscle activation characteristics during a coronal plane abduction/adduction movement were evaluated in the dominant healthy shoulder of 24 subjects. Surface and intramuscular fine wire electrodes recorded EMG activity from 15 shoulder muscles (deltoid x 3, trapezius x 3, subscapularis x 2, latissimus dorsi, pectoralis major, pectoralis minor, supraspinatus, infraspinatus, serratus anterior and rhomboids) at 2000 Hz for 10s whilst each subject performed 10 dynamic coronal plane abduction/adduction movements from 0 degrees to 166 degrees to 0 degrees with a light dumbbell. Results revealed that supraspinatus (-.102 s before movement onset) initiated the movement with middle trapezius (-.019 s) and middle deltoid (-.014 s) also activated before the movement onset. Similar patterns were also found in the time of peak amplitude and %MVC with a pattern emerging where the prime movers (supraspinatus and middle deltoid) were among the first to reach peak amplitude or display the highest %MVC values. In conclusion, the most reproducible patterns of activation arose from the more prime mover muscle sites in all EMG variables analysed and although variability was present, there emerged 'invariant characteristics' that were considered 'normal' for this group of non pathological shoulders. The authors believe that the methodology and certain parts of the analysis in this study can be duplicated and used by future researchers who require a reference database of muscle activity for use as a control group in comparisons to their respective pathological shoulder group. 2009 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2009        PMID: 19625195     DOI: 10.1016/j.jelekin.2009.06.004

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  27 in total

1.  Electromyographic activities of the subscapularis, supraspinatus and infraspinatus muscles during passive shoulder and active elbow exercises.

Authors:  Myung-Chul Jung; Sung-Jae Kim; Jae-Jun Rhee; Doo-Hyung Lee
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2.  Vibration as an adjunct to exercise: its impact on shoulder muscle activation.

Authors:  Michael J Grant; David H Hawkes; Jessica McMahon; Ian Horsley; Omid A Khaiyat
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Review 3.  The treatment of multidirectional instability of the shoulder with a rehabilitation programme: Part 2.

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Journal:  Shoulder Elbow       Date:  2016-07-08

4.  Biomechanical contributions of posterior deltoid and teres minor in the context of axillary nerve injury: a computational study.

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5.  Positive association between the cross-sectional area of the rhomboid muscle, and the range of shoulder abduction after neck dissection surgery.

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Journal:  Phys Ther Res       Date:  2018-07-23

6.  Characterizing upper limb muscle volume and strength in older adults: a comparison with young adults.

Authors:  Meghan E Vidt; Melissa Daly; Michael E Miller; Cralen C Davis; Anthony P Marsh; Katherine R Saul
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7.  Getting more from standard rotator cuff strengthening exercises.

Authors:  C Ganderton; R Kinsella; L Watson; T Pizzari
Journal:  Shoulder Elbow       Date:  2019-12-04

8.  Quantitative estimation of muscle shear elastic modulus of the upper trapezius with supersonic shear imaging during arm positioning.

Authors:  Hio-Teng Leong; Gabriel Yin-Fat Ng; Vivian Yee-Fong Leung; Siu Ngor Fu
Journal:  PLoS One       Date:  2013-06-25       Impact factor: 3.240

9.  Neuromuscular compensation strategies adopted at the shoulder following bilateral subpectoral implant breast reconstruction.

Authors:  Joshua M Leonardis; Whitney L Wolff; Adeyiza O Momoh; David B Lipps
Journal:  J Biomech       Date:  2021-03-01       Impact factor: 2.789

10.  A Brain Motor Control Assessment (BMCA) protocol for upper limb function.

Authors:  Maryam Zoghi; Mary Galea; David Morgan
Journal:  PLoS One       Date:  2013-11-04       Impact factor: 3.240

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