Document Detail


A model predicting individual shoulder muscle forces based on relationship between electromyographic and 3D external forces in static position.
MedLine Citation:
PMID:  9796673     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To study the potentiality for developing an EMG-based model for the human shoulder, mapping of relations between static hand forces and electromyographic (EMG) activity of 13 shoulder muscles, were performed. The procedure was to perform by the hands slowly varying isometric forces up to 20% maximum voluntary force in the three-dimensional space. By combining these data with literature values on muscle physiological cross-sectional area and moment arm data, an EMG-based model was developed for estimating muscle forces in the glenohumeral joint. The model was validated for one standardized position by comparing joint moment, calculated from EMG by using the model, with moments from the external force. The highest correlation between these moments was found assuming a linear EMG/force calibration at low force level (< 20% MVC), giving correlations from 0.65 to 0.95 for the abduction/adduction moment and from 0.70 to 0.93 for the flexion/extension moment, for the six subjects. Moments calculated from EMG were for most subjects somewhat lower than the moments from the external force; the mean residual error ranged from 1.6 to 9.9 Nm. Taking this into account, the results can be used for assessment of muscle forces based on recordings of external forces at the hands during submaximal static work tasks without substantially elevated arms.
Authors:
B Laursen; B R Jensen; G Németh; G Sjøgaard
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of biomechanics     Volume:  31     ISSN:  0021-9290     ISO Abbreviation:  J Biomech     Publication Date:  1998 Aug 
Date Detail:
Created Date:  1998-12-23     Completed Date:  1998-12-23     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0157375     Medline TA:  J Biomech     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  731-9     Citation Subset:  IM    
Affiliation:
Department of Physiology, National Institute of Occupational Health, Copenhagen, Denmark. bl@ami.dk
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Anatomy, Cross-Sectional
Calibration
Electromyography*
Female
Hand / physiology
Humans
Isometric Contraction / physiology
Models, Biological*
Muscle Contraction / physiology*
Muscle, Skeletal / anatomy & histology,  physiology*
Range of Motion, Articular / physiology
Reproducibility of Results
Shoulder / anatomy & histology,  physiology*
Shoulder Joint / physiology
Signal Processing, Computer-Assisted
Stress, Mechanical
Transducers

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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