Biomedical Signal Analysis

Rangaraj M. Rangayyan , Sridhar Krishnan 지음

Wiley-IEEE Press 2024년 02월 19일 출간

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Biomedical Signal Analysis Comprehensive resource covering recent developments, applications of current interest, and advanced techniques for biomedical signal analysis Biomedical Signal Analysis provides extensive insight into digital signal processing techniques for filtering, identification, characterization, classification, and analysis of biomedical signals with the aim of computer-aided diagnosis, taking a unique approach by presenting case studies encountered in the authors’ research work. Each chapter begins with the statement of a biomedical signal problem, followed by a selection of real-life case studies and illustrations with the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple “textbook” methods, followed by more sophisticated research-informed approaches. Each chapter concludes with solutions to practical applications. Illustrations of real-life biomedical signals and their derivatives are included throughout. The third edition expands on essential background material and advanced topics without altering the underlying pedagogical approach and philosophy of the successful first and second editions. The book is enhanced by a large number of study questions and laboratory exercises as well as an online repository with solutions to problems and data files for laboratory work and projects. Biomedical Signal Analysis provides theoretical and practical information on: The origin and characteristics of several biomedical signals Analysis of concurrent, coupled, and correlated processes, with applications in monitoring of sleep apnea Filtering for removal of artifacts, random noise, structured noise, and physiological interference in signals generated by stationary, nonstationary, and cyclostationary processes Detection and characterization of events, covering methods for QRS detection, identification of heart s

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About the Authors xvi Foreword by Prof. Willis J. Tompkins xviii Foreword by Prof. Alan V. Oppenheim xix Preface xxii Acknowledgments xxviii Symbols and Abbreviations xxxi About the Companion Website xxxix 1 Introduction to Biomedical Signals 1 1.1 The Nature of Biomedical Signals 1 1.2 Examples of Biomedical Signals 4 1.2.1 The action potential of a cardiac myocyte 5 1.2.2 The action potential of a neuron 9 1.2.3 The electroneurogram (ENG) 10 1.2.4 The electromyogram (EMG) 12 1.2.5 The electrocardiogram (ECG) 20 1.2.6 The electroencephalogram (EEG) 29 1.2.7 Event-related potentials (ERPs) 35 1.2.8 The electrogastrogram (EGG) 36 1.2.9 The phonocardiogram (PCG) 37 1.2.10 The carotid pulse 40 1.2.11 The photoplethysmogram (PPG) 41 1.2.12 Signals from catheter-tip sensors 43 1.2.13 The speech signal 44 1.2.14 The vibroarthrogram (VAG) 48 1.2.15 The vibromyogram (VMG) 52 1.2.16 Otoacoustic emission (OAE) signals 52 1.2.17 Bioacoustic signals 52 1.3 Objectives of Biomedical Signal Analysis 52 1.4 Challenges in Biomedical Signal Analysis 55 1.5 Why Use Computer-aided Monitoring and Diagnosis? 58 1.6 Remarks 60 1.7 Study Questions and Problems 60 1.8 Laboratory Exercises and Projects 62 References 63 2 Analysis of Concurrent, Coupled, and Correlated Processes 71 2.1 Problem Statement 71 2.2 Illustration of the Problem with Case Studies 72 2.2.1 The ECG and the PCG 72 2.2.2 The PCG and the carotid pulse 73 2.2.3 The ECG and the atrial electrogram 73 2.2.4 Cardiorespiratory interaction 75 2.2.5 Heart-rate variability 75 2.2.6 The EMG and VMG 77 2.2.7 The knee-joint and muscle-vibration signals 77 2.3 Application: Segmentation of the PCG 78 2.4 Appli

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저자(글) Rangaraj M. Rangayyan

저자(글) Sridhar Krishnan