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عنوان
Applications, challenges, and advancements in electromyography signal processing

پدید آورنده
Ganesh R. Naik, editor.

موضوع

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1466660902
(Number (ISBN
9781466660908

NATIONAL BIBLIOGRAPHY NUMBER

Number
b391101

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
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.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Ganesh R Naik

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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