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Generation of synthetic surface electromyography signals under fatigue conditions for varying force inputs using feedback control algorithm
Diptasree Maitra Ghosh,
Published in SAGE Publications Ltd
2017
PMID: 28830284
Volume: 231
   
Issue: 11
Pages: 1025 - 1033
Abstract
Surface electromyography is a non-invasive technique used for recording the electrical activity of neuromuscular systems. These signals are random, complex and multi-component. There are several techniques to extract information about the force exerted by muscles during any activity. This work attempts to generate surface electromyography signals for various magnitudes of force under isometric non-fatigue and fatigue conditions using a feedback model. The model is based on existing current distribution, volume conductor relations, the feedback control algorithm for rate coding and generation of firing pattern. The result shows that synthetic surface electromyography signals are highly complex in both non-fatigue and fatigue conditions. Furthermore, surface electromyography signals have higher amplitude and lower frequency under fatigue condition. This model can be used to study the influence of various signal parameters under fatigue and non-fatigue conditions. © Institution of Mechanical Engineers.
About the journal
JournalData powered by TypesetProceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
PublisherData powered by TypesetSAGE Publications Ltd
ISSN09544119
Open AccessNo
Concepts (25)
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    Feedback
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    Feedback control
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    Muscle
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    Proportional control systems
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    Two term control systems
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    ISOMETRIC FORCE
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    MOTOR UNIT
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    MUSCLE FATIGUES
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    Proportional integral derivative controllers
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    SYNTHETIC SURFACES
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    Electromyography
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    Algorithm
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    Biological model
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    Muscle contraction
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    MUSCLE FATIGUE
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    Physiological feedback
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    Physiology
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    Signal processing
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    Surface property
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    Algorithms
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    Feedback, physiological
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    Models, biological
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    MUSCLE FATIGUE
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    Signal processing, computer-assisted
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    Surface properties