Applications, challenges, and advancements in electromyography signal processing
General Material Designation
[Book]
First Statement of Responsibility
Ganesh R. Naik, editor.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Hershey PA
Name of Publisher, Distributor, etc.
Medical Information Science Reference,
Date of Publication, Distribution, etc.
[2014]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xix, 403 pages : illustrations ; 29 cm.
SERIES
Series Title
Advances in medical technologies and clinical practice book series.
CONTENTS NOTE
Text of Note
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.