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Biomedical signal processing = advan...

Naik, Ganesh.

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Biomedical signal processing = advances in theory, algorithms and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Biomedical signal processing/ edited by Ganesh Naik.
Reminder of title:	advances in theory, algorithms and applications /
other author:	Naik, Ganesh.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	x, 432 p. :ill., digital ;24 cm.
[NT 15003449]:	Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs-A case study -- An EEG brain-computer interface to classify motor imagery signals.
Contained By:	Springer eBooks
Subject:	Signal processing - Digital techniques. -
Online resource:	https://doi.org/10.1007/978-981-13-9097-5
ISBN:	9789811390975

Biomedical signal processing = advances in theory, algorithms and applications /
Biomedical signal processingadvances in theory, algorithms and applications /[electronic resource] :edited by Ganesh Naik. - Singapore :Springer Singapore :2020. - x, 432 p. :ill., digital ;24 cm. - Series in bioengineering,2196-8861. - Series in bioengineering..

Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs-A case study -- An EEG brain-computer interface to classify motor imagery signals.

This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.

ISBN: 9789811390975

Standard No.: 10.1007/978-981-13-9097-5doiSubjects--Topical Terms:

624853
Signal processing
--Digital techniques.

LC Class. No.: TK5102.9 / .B566 2019

Dewey Class. No.: 621.3822

Biomedical signal processing = advances in theory, algorithms and applications /
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300 $a x, 432 p. : $b ill., digital ; $c 24 cm.
490 1 $a Series in bioengineering, $x 2196-8861
505 0 $a Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations -- Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots -- Force Myography and its Application to Human Locomotion -- Comparison of Independence of Triceps Brachii and Biceps Brachii between Paretic and Non-Paretic side during different MVCs-A case study -- An EEG brain-computer interface to classify motor imagery signals.
520 $a This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedings. In addition, the chapters are self-contained and can be read independently. Accordingly, the book will be of interest to university researchers, R&D engineers and graduate students who wish to learn the core principles of biomedical signal analysis, algorithms, and applications, while also offering a valuable reference work for biomedical engineers and clinicians who wish to learn more about the theory and recent applications of neural engineering and biomedical signal processing.
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650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
650 2 4 $a Artificial Intelligence. $3 769149
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