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Applications, challenges, and advanc...

Naik, Ganesh R.,

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Applications, challenges, and advancements in electromyography signal processing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications, challenges, and advancements in electromyography signal processing // Ganesh R. Naik, editor.
other author:	Naik, Ganesh R.,
Description:	PDFs (404 pages).
[NT 15003449]:	Neural control of muscle / Parveen Bawa, Kelvin E. Jones -- New advances in single fiber electromyography / Javier Rodriguez-Falces -- Detection and conditioning of EMG / Imran Göker -- An introduction to EMG signal processing using MatLab and Microsoft Excel / Daniel Robbins -- Modeling the human elbow joint dynamics from surface electromyography / Andres Felipe Ruiz-Olaya -- Arm swing during human gait studied by EMG of upper limb muscles / Johann P. Kuhtz-Buschbeck, Antonia Frendel, Bo Jing -- Using in vivo subject-specific musculotendon parameters to investigate voluntary movement changes after stroke: an EMG-driven model of elbow joint / Hujing Hu, Le Li -- Study and interpretation of neuromuscular patterns in golf / Sergio Marta, João Rocha Vaz, Luis Silva, Maria Antonio Castro, Pedro Pezarat Correia -- Assessing joint stability from eigenvalues obtained from multi-channel EMG: a spine example / Dianne M. Ikeda, Stuart M. McGill -- Endurance time prediction using electromyography / Sebastien Boyas, Arnaud Guevel -- EMG activation pattern during voluntary bending and donning safety shoes / P. K. Nag, Varsha Chorsiya, Anjali Nag -- Tongue movement estimation based on suprahyoid muscle activity / Makoto Sasaki -- Design of myocontrolled neuroprosthesis: tricks and pitfalls / Emilia Ambrosini, Simona Ferrante, Alessandro Pedrocchi -- Design and development of EMG conditioning system and hand gesture recognition based on principal component analysis feature reduction technique / P. Geethanjali -- The relationship between anthropometric variables and features of electromyography signal for human-computer interface / Angkoon Phinyomark, Franck Quaine, Yann Laurillau.
Subject:	Electromyography. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6090-8
ISBN:	9781466660915 (ebook)

Applications, challenges, and advancements in electromyography signal processing /
Applications, challenges, and advancements in electromyography signal processing /Ganesh R. Naik, editor. - PDFs (404 pages).

Includes bibliographical references.

Neural control of muscle / Parveen Bawa, Kelvin E. Jones -- New advances in single fiber electromyography / Javier Rodriguez-Falces -- Detection and conditioning of EMG / Imran Göker -- An introduction to EMG signal processing using MatLab and Microsoft Excel / Daniel Robbins -- Modeling the human elbow joint dynamics from surface electromyography / Andres Felipe Ruiz-Olaya -- Arm swing during human gait studied by EMG of upper limb muscles / Johann P. Kuhtz-Buschbeck, Antonia Frendel, Bo Jing -- Using in vivo subject-specific musculotendon parameters to investigate voluntary movement changes after stroke: an EMG-driven model of elbow joint / Hujing Hu, Le Li -- Study and interpretation of neuromuscular patterns in golf / Sergio Marta, João Rocha Vaz, Luis Silva, Maria Antonio Castro, Pedro Pezarat Correia -- Assessing joint stability from eigenvalues obtained from multi-channel EMG: a spine example / Dianne M. Ikeda, Stuart M. McGill -- Endurance time prediction using electromyography / Sebastien Boyas, Arnaud Guevel -- EMG activation pattern during voluntary bending and donning safety shoes / P. K. Nag, Varsha Chorsiya, Anjali Nag -- Tongue movement estimation based on suprahyoid muscle activity / Makoto Sasaki -- Design of myocontrolled neuroprosthesis: tricks and pitfalls / Emilia Ambrosini, Simona Ferrante, Alessandro Pedrocchi -- Design and development of EMG conditioning system and hand gesture recognition based on principal component analysis feature reduction technique / P. Geethanjali -- The relationship between anthropometric variables and features of electromyography signal for human-computer interface / Angkoon Phinyomark, Franck Quaine, Yann Laurillau.

Restricted to subscribers or individual electronic text purchasers.

"This book provides an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781466660915 (ebook)

Standard No.: 10.4018/978-1-4666-6090-8doi

LCCN: 2014008006Subjects--Topical Terms:

592898
Electromyography.
Subjects--Index Terms:

Applications in electromyography (EMG)

LC Class. No.: RC77.5 / .A67 2014e

Dewey Class. No.: 616.7/407547

National Library of Medicine Call No.: WE 500 / A652 2014e

Applications, challenges, and advancements in electromyography signal processing /
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245 0 0 $a Applications, challenges, and advancements in electromyography signal processing / $c Ganesh R. Naik, editor.
264 1 $a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pa., 17033, USA) : $b IGI Global, $c [2014]
300 $a PDFs (404 pages).
336 $a text $2 rdacontent
337 $a electronic $2 isbdmedia
338 $a online resource $2 rdacarrier
504 $a Includes bibliographical references.
505 0 $a Neural control of muscle / Parveen Bawa, Kelvin E. Jones -- New advances in single fiber electromyography / Javier Rodriguez-Falces -- Detection and conditioning of EMG / Imran Göker -- An introduction to EMG signal processing using MatLab and Microsoft Excel / Daniel Robbins -- Modeling the human elbow joint dynamics from surface electromyography / Andres Felipe Ruiz-Olaya -- Arm swing during human gait studied by EMG of upper limb muscles / Johann P. Kuhtz-Buschbeck, Antonia Frendel, Bo Jing -- Using in vivo subject-specific musculotendon parameters to investigate voluntary movement changes after stroke: an EMG-driven model of elbow joint / Hujing Hu, Le Li -- Study and interpretation of neuromuscular patterns in golf / Sergio Marta, João Rocha Vaz, Luis Silva, Maria Antonio Castro, Pedro Pezarat Correia -- Assessing joint stability from eigenvalues obtained from multi-channel EMG: a spine example / Dianne M. Ikeda, Stuart M. McGill -- Endurance time prediction using electromyography / Sebastien Boyas, Arnaud Guevel -- EMG activation pattern during voluntary bending and donning safety shoes / P. K. Nag, Varsha Chorsiya, Anjali Nag -- Tongue movement estimation based on suprahyoid muscle activity / Makoto Sasaki -- Design of myocontrolled neuroprosthesis: tricks and pitfalls / Emilia Ambrosini, Simona Ferrante, Alessandro Pedrocchi -- Design and development of EMG conditioning system and hand gesture recognition based on principal component analysis feature reduction technique / P. Geethanjali -- The relationship between anthropometric variables and features of electromyography signal for human-computer interface / Angkoon Phinyomark, Franck Quaine, Yann Laurillau.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book provides an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research"--Provided by publisher.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
650 0 $a Electromyography. $3 592898
650 0 $a Biological models. $3 577813
650 0 $a Musculoskeletal system $x Physiology. $3 548843
650 2 2 $a Models, Biological. $3 714574
650 2 2 $a Musculoskeletal Physiological Processes. $3 2143234
653 $a Applications in electromyography (EMG)
653 $a Electromyography signal processing
653 $a Gesture recognition
653 $a Joint biometrics
653 $a Motion analysis
653 $a Muscle fatigue
653 $a Source localization
700 1 $a Naik, Ganesh R., $e editor. $3 2143233
710 2 $a IGI Global, $e publisher. $3 2142982
776 0 $c (Original) $w (DLC)2014008006
776 0 8 $i Print version: $z 1466660902 $z 9781466660908 $w (DLC) 2014008006
856 4 1 $3 Chapter PDFs via platform: $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6090-8