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Biosignal Processing : Fundamentals and Recent Applications with MATLAB ® / Stefan Bernhard, Andreas Brensing, Karl-Heinz Witte.

By: Bernhard, Stefan [author.].
Contributor(s): Bernhard, Stefan [contributor.] | Brensing, Andreas [author.] | Witte, Karl-Heinz [author.].
Material type: materialTypeLabelBookSeries: De Gruyter Textbook.Publisher: München ; Wien : De Gruyter Oldenbourg, [2022]Copyright date: ©2022Description: 1 online resource (XII, 303 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110736298.Subject(s): Biosignalverarbeitung | Matlab | Medizintechnik | Signalverarbeitung | Technology & Engineering / BiomedicalAdditional physical formats: No title; No titleOnline resources: Click here to access online | Click here to access online | Cover Issued also in print.
Contents:
Frontmatter -- Foreword -- Contents -- Image credits -- 1 Introduction to Biosignal Processing -- 2 Fundamentals of Information, Signal and System Theory -- 3 Fundamentals of the Formation of Biosignals -- 4 Measurement of Biosignals and Analog Signal Processing -- 5 Methods for Discrete Processing and Analysis of Biosignals -- 6 Applications and Methods in Biosignal Processing -- 7 Appendix: Quantity- / Unit Symbols and Important Constants -- Bibliography -- Index
Title is part of eBook package:DG OWV ebook Paket Lehrbücher Technik und Informatik 2022Title is part of eBook package:DG Plus DeG Package 2022 Part 1Title is part of eBook package:EBOOK PACKAGE COMPLETE 2022 EnglishTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2022Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2022 EnglishTitle is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2022Summary: This book explains the principles of biosignal processing and its practical applications using MATLAB. Topics include the emergence of biosignals, electrophysiology, analog and digital biosignal processing, signal discretization, electrodes, time and frequency analysis, analog and digital filters, Fourier-transformation, z-transformation, pattern recognition, statistical data analysis, physiological modelling and applications of EEG, ECG, EMG, PCG and PPG signals. Additional scientifi c contributions on motion analysis by guest authors Prof. Dr. J. Subke and B. Schneider as well as classification of PPG signals by Dr. U. Hackstein.
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