Biomedical signal analysis /

The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address v...

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Κύριος συγγραφέας: Rangayyan, Rangaraj M. (Συγγραφέας)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, New Jersey : John Wiley & Sons, Inc., 2015.
Έκδοση:Second edition.
Σειρά:IEEE Press series in biomedical engineering.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Rangayyan, Rangaraj M.,  |e author. 
245 1 0 |a Biomedical signal analysis /  |c Rangaraj M. Rangayyan. 
250 |a Second edition. 
264 1 |a Hoboken, New Jersey :  |b John Wiley & Sons, Inc.,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (717 pages) :  |b illustrations, tables. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IEEE Press series on biomedical engineering 
490 0 |a IEEE engineering in medicine 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (ebrary, viewed May 06, 2015). 
505 0 |a BIOMEDICAL SIGNAL ANALYSIS; Dedication; Contents; Preface; Acknowledgments; Preface: First Edition; Acknowledgments: First Edition; About the Author; Symbols and Abbreviations; 1 Introduction to Biomedical Signals; 1.1 The Nature of Biomedical Signals; 1.2 Examples of Biomedical Signals; 1.2.1 The action potential of a cardiac myocyte; 1.2.2 The action potential of a neuron; 1.2.3 The electroneurogram (ENG); 1.2.4 The electromyogram (EMG); 1.2.5 The electrocardiogram (ECG); 1.2.6 The electroencephalogram (EEG); 1.2.7 Eventrelated potentials (ERPs); 1.2.8 The electrogastrogram (EGG) 
505 8 |a 1.2.9 The phonocardiogram (PCG)1.2.10 The carotid pulse; 1.2.11 Signals from catheter tip sensors; 1.2.12 The speech signal; 1.2.13 The vibromyogram (VMG); 1.2.14 The vibroarthrogram (VAG); 1.2.15 Otoacoustic emission (OAE) signals; 1.2.16 Bioacoustic signals; 1.3 Objectives of Biomedical Signal Analysis; 1.4 Difficulties in Biomedical Signal Analysis; 1.5 Why Use CAD?; 1.6 Remarks; 1.7 Study Questions and Problems; 1.8 Laboratory Exercises and Projects; 2 Concurrent, Coupled, and Correlated Processes; 2.1 Problem Statement; 2.2 Illustration of the Problem with Case Studies 
505 8 |a 2.2.1 The ECG and the PCG2.2.2 The PCG and the carotid pulse; 2.2.3 The ECG and the atrial electrogram; 2.2.4 Cardiorespiratory interaction; 2.2.5 The importance of HRV; 2.2.6 The EMG and VMG; 2.2.7 The knee joint and muscle vibration signals; 2.3 Application: Segmentation of the PCG; 2.4 Application: Diagnosis and Monitoring of Sleep Apnea; 2.4.1 Monitoring of sleep apnea by polysomnography; 2.4.2 Home monitoring of sleep apnea; 2.4.3 Multivariate and multiorgan analysis; 2.5 Remarks; 2.6 Study Questions and Problems; 2.7 Laboratory Exercises and Projects 
505 8 |a 3 Filtering for Removal of Artifacts3.1 Problem Statement; 3.2 Random, Structured, and Physiological Noise; 3.2.1 Random noise; 3.2.2 Structured noise; 3.2.3 Physiological interference; 3.2.4 Stationary, nonstationary, and cyclostationary processes; 3.3 Illustration of the Problem with Case Studies; 3.3.1 Noise in event related potentials; 3.3.2 High frequency noise in the ECG; 3.3.3 Motion artifact in the ECG; 3.3.4 Powerline interference in ECG signals; 3.3.5 Maternal interference in fetal ECG; 3.3.6 Muscle contraction interference in VAG signals; 3.3.7 Potential solutions to the problem 
505 8 |a 3.4 Fundamental Concepts of Filtering3.4.1 Linear shift invariant filters; 3.4.2 Transform domain analysis of signals and systems; 3.4.3 The pole-zero plot; 3.4.4 The discrete Fourier transform; 3.4.5 Properties of the Fourier transform; 3.5 Time domain Filters; 3.5.1 Synchronized averaging; 3.5.2 MA filters; 3.5.3 Derivative based operators to remove low frequency artifacts; 3.5.4 Various specifications of a filter; 3.6 Frequency domain Filters; 3.6.1 Removal of high frequency noise: Butterworth lowpass filters; 3.6.2 Removal of low frequency noise: Butterworth highpass filters 
520 |a The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications -- 800 mathematical expressions and equations -- Practical questions, problems and laboratory exercises -- Includes fractals and chaos theory with biomedical applications. 
650 0 |a Signal processing  |x Data processing. 
650 0 |a Diagnostic imaging. 
650 4 |a Biomedical engineering. 
650 7 |a HEALTH & FITNESS / Holism  |2 bisacsh 
650 7 |a HEALTH & FITNESS / Reference  |2 bisacsh 
650 7 |a MEDICAL / Alternative Medicine  |2 bisacsh 
650 7 |a MEDICAL / Atlases  |2 bisacsh 
650 7 |a MEDICAL / Essays  |2 bisacsh 
650 7 |a MEDICAL / Family & General Practice  |2 bisacsh 
650 7 |a MEDICAL / Holistic Medicine  |2 bisacsh 
650 7 |a MEDICAL / Osteopathy  |2 bisacsh 
650 7 |a Diagnostic imaging.  |2 fast  |0 (OCoLC)fst00892354 
650 7 |a Signal processing  |x Data processing.  |2 fast  |0 (OCoLC)fst01118284 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Rangayyan, Rangaraj M.  |t Biomedical Signal Analysis  |d Hoboken : Wiley,c2015  |z 9780470911396 
830 0 |a IEEE Press series in biomedical engineering. 
856 4 0 |u https://doi.org/10.1002/9781119068129  |z Full Text via HEAL-Link 
994 |a 92  |b DG1