Biosignal Processing Fundamentals and Recent Applications with MATLAB ®

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, F...

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Bibliographic Details
Main Author: Bernhard, Stefan
Other Authors: Brensing, Andreas, Witte, Karl-Heinz
Format: eBook
Language:English
Published: München ; Wien De Gruyter Oldenbourg, [2022]
Series:De Gruyter Textbook
Subjects:
Online Access:EBSCOhost
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049 |a MAIN 
100 1 |a Bernhard, Stefan  |9 905905 
245 1 0 |a Biosignal Processing  |b Fundamentals and Recent Applications with MATLAB ®  |c Stefan Bernhard, Andreas Brensing, Karl-Heinz Witte. 
264 1 |a München ;  |a Wien  |b De Gruyter Oldenbourg,  |c [2022] 
300 |a 1 online resource (XII, 303 p.). 
490 0 |a De Gruyter Textbook 
505 0 0 |t Frontmatter --  |t Foreword --  |t Contents --  |t Image credits --  |t 1 Introduction to Biosignal Processing --  |t 2 Fundamentals of Information, Signal and System Theory --  |t 3 Fundamentals of the Formation of Biosignals --  |t 4 Measurement of Biosignals and Analog Signal Processing --  |t 5 Methods for Discrete Processing and Analysis of Biosignals --  |t 6 Applications and Methods in Biosignal Processing --  |t 7 Appendix: Quantity- / Unit Symbols and Important Constants --  |t Bibliography --  |t Index 
520 |a 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. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 04. Okt 2022). 
630 0 0 |a MATLAB.  |9 905906 
653 4 |a Biosignalverarbeitung. 
653 4 |a Matlab. 
653 4 |a Medizintechnik. 
653 4 |a Signalverarbeitung. 
653 7 |a Technology & Engineering / Biomedical.  |2 bisacsh 
653 0 |a Brain mapping. 
653 0 |a Signal processing  |x Digital techniques  |x Mathematics. 
655 0 |a EBSCO eBooks  |9 905790 
700 1 |a Brensing, Andreas  |9 905907 
700 1 |a Witte, Karl-Heinz  |9 905908 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/3346486.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1010977 
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