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Biomedical Signal Processing : Advances in Theory, Algorithms and Applications / edited by Ganesh Naik.

Springer Nature - Springer Engineering eBooks 2020 English International Available online

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Format:
Book
Contributor:
Naik, Ganesh, editor.
SpringerLink (Online service)
Series:
Engineering (Springer-11647)
Series in bioengineering 2196-8861
Series in BioEngineering, 2196-8861
Language:
English
Subjects (All):
Biomedical engineering.
Signal processing.
Image processing.
Speech processing systems.
Pattern perception.
Computational intelligence.
Computer science--Mathematics.
Computer science.
Artificial intelligence.
Biomedical Engineering and Bioengineering.
Signal, Image and Speech Processing.
Pattern Recognition.
Computational Intelligence.
Computational Mathematics and Numerical Analysis.
Artificial Intelligence.
Local Subjects:
Biomedical Engineering and Bioengineering.
Signal, Image and Speech Processing.
Pattern Recognition.
Computational Intelligence.
Computational Mathematics and Numerical Analysis.
Artificial Intelligence.
Physical Description:
1 online resource (X, 432 pages) : 237 illustrations, 125 illustrations in color.
Edition:
First edition 2020.
Contained In:
Springer eBooks
Place of Publication:
Singapore : Springer Singapore : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
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. .
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-981-13-9097-5
9789811390975
Access Restriction:
Restricted for use by site license.

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