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Bernhard, Stefan. Biosignal Processing: Fundamentals and Recent Applications with MATLAB ® / Stefan Bernhard, Andreas Brensing, Karl-Heinz Witte. — 1 online resource (XII, 303 p.). — (De Gruyter Textbook). — In English. — <URL:http://elib.fa.ru/ebsco/3346486.pdf>.

Record create date: 10/4/2022

Subject: Biosignalverarbeitung.; Matlab.; Medizintechnik.; Signalverarbeitung.; Technology & Engineering / Biomedical.; Brain mapping.; Signal processing — Digital techniques — Mathematics.

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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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Table of Contents

  • 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

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