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" Applications, challenges, and advancements in electromyography signal processing "
Ganesh R. Naik, editor.
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BL
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| Record Number
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561937
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b391101
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| Main Entry
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Ganesh R Naik
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| Title & Author
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Applications, challenges, and advancements in electromyography signal processing\ Ganesh R. Naik, editor.
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| Publication Statement
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Hershey PA : Medical Information Science Reference,, [2014]
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| Series Statement
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Advances in medical technologies and clinical practice book series.
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| Page. NO
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xix, 403 pages : illustrations ; 29 cm.
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| ISBN
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1466660902
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: 9781466660908
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| Contents
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Neural control of muscle -- New advances in single fibre electromyography -- Detection and conditioning of EMG -- An introduction to signal processing using matlab and microsoft Excel -- Modeling the human elbow joint dynamics from surface electromyography -- Arm swing during human gait studied by EMG of upper limb muscles -- Using in vivo subject-specific musculotendon parameters to investigate voluntary movement changes after stroke : an EMG-driven model of elbow joint -- Study and interpretation of neuromuscular patterns in golf -- Assessing joint stability from eigenvalues obtained from multi-channel EMG : a spine example -- Endurance time prediction using electromyography -- EMG activation pattern during voluntary bending and donning safety shoes -- Tongue movement estimation based on suprahyoid muscle activity -- Design of myocontrolled neuroprosthesis : tricks and pitfalls -- Design and development of EMG conditioning system for hand gesture recognition using principal component analysis -- The relationship between anthropometric variables and features of electromyography signal for human/computer interface.
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