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Biomedical Signal Processing = Advances in Theory, Algorithms and Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Biomedical Signal Processing/ edited by Ganesh Naik.
Reminder of title:	Advances in Theory, Algorithms and Applications /
other author:	Naik, Ganesh.
Description:	X, 432 p. 237 illus., 125 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomedical engineering. -
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. - 1st ed. 2020. - X, 432 p. 237 illus., 125 illus. in color.online resource. - 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:

588770
Biomedical engineering.

LC Class. No.: R856-857

Dewey Class. No.: 610.28

Biomedical Signal Processing = Advances in Theory, Algorithms and Applications /
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