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06561nam a2200877 4500 |
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20170124072634.9 |
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150506t20152015njua ob 001 0 eng d |
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|a 908520021
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|a 9781119068129
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|z 9781119068129
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|z 1119068126
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|z 9780470911396
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|z (OCoLC)908520021
|z (OCoLC)908632417
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|z (OCoLC)924043025
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|b MIL
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|a TK5102.9
|b .R364 2015eb
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|a QT 36
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|a HEA
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|a 621.3822
|2 23
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|a MAIN
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|a Rangayyan, Rangaraj M.,
|e author.
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|a Biomedical signal analysis /
|c Rangaraj M. Rangayyan.
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|a Second edition.
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|a Hoboken, New Jersey :
|b John Wiley & Sons, Inc.,
|c 2015.
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|c ©2015
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300 |
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|a 1 online resource (717 pages) :
|b illustrations, tables.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a IEEE Press series on biomedical engineering
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|a IEEE engineering in medicine
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|a Includes bibliographical references and index.
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|a Online resource; title from PDF title page (ebrary, viewed May 06, 2015).
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|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)
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|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
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|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
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|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
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|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
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|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.
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650 |
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|a Signal processing
|x Data processing.
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|a Diagnostic imaging.
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|a Biomedical engineering.
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|a HEALTH & FITNESS / Holism
|2 bisacsh
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|a HEALTH & FITNESS / Reference
|2 bisacsh
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|a MEDICAL / Alternative Medicine
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|a MEDICAL / Atlases
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|a MEDICAL / Essays
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|a MEDICAL / Family & General Practice
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|a MEDICAL / Holistic Medicine
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|a MEDICAL / Osteopathy
|2 bisacsh
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|a Diagnostic imaging.
|2 fast
|0 (OCoLC)fst00892354
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|a Signal processing
|x Data processing.
|2 fast
|0 (OCoLC)fst01118284
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|a Electronic books.
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|i Print version:
|a Rangayyan, Rangaraj M.
|t Biomedical Signal Analysis
|d Hoboken : Wiley,c2015
|z 9780470911396
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830 |
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0 |
|a IEEE Press series in biomedical engineering.
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856 |
4 |
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|u https://doi.org/10.1002/9781119068129
|z Full Text via HEAL-Link
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|a 92
|b DG1
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