Advances in Cardiac Signal Processing (eBook)

U. Rajendra Acharya (Autor)

Jasjit Suri, J.A.E Spaan, Shankar M. Krishnan (Herausgeber)

eBook Download: PDF

2007 | 2007
XXII, 468 Seiten
Springer Berlin (Verlag)
978-3-540-36675-1 (ISBN)

Infos

This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book concludes by assessing the future of cardiac signal processing, leading to next generation research which directly impact cardiac health care.

Inhalt

Preface 5
Contents 11
List of Contributors 20
1 The Electrocardiogram 22
1.1 Anatomy of the Heart 24
1.2 Electrical Conduction System 27
1.3 Arrhythmias 39
1.4 Miscellaneous Electrocardiogram Changes 56
1.5 Myocardial Ischemia, Injury and Infarction 69
References 74
2 Analysis of Electrocardiograms 75
2.1 Steps in ECG Analysis 75
2.2 Preprocessing of ECG 76
2.3 QRS Complex Detection 80
2.4 Detection of QRS Complex Onset and Offset 85
2.5 ST Segment Analyzer 86
2.6 Complexity Analysis of ECG Signal 87
2.7 Sample Results and Discussion 89
References 101
3 Prediction of Cardiac Signals Using Linear and Nonlinear Techniques 103
3.1 Data Acquisition and Preprocessing 106
3.2 Modeling Techniques 107
3.3 Results 114
3.4 Discussions 123
3.5 Conclusion 124
References 125
4 Visualization of Cardiac Health Using Electrocardiograms 128
4.1 Introduction 128
4.2 Preprocessing 130
4.3 Arrhythmia Detection 130
4.4 Data Handling and Display 131
4.5 Hierarchical Display 133
4.6 Sector Graph Display 134
4.7 Discussion 137
4.8 Conclusion 138
References 138
5 Heart Rate Variability 140
5.1 Physiological Phenomenon of HRV 140
5.2 Introduction 141
5.3 Methods 150
5.4 Frequency Domain Analysis 153
5.5 Nonlinear Methods of Analysis 159
5.6 Requirements for Non-Linear Analysis 170
5.7 Discussion 171
5.8 Conclusion 173
References 174
6 Data Fusion of Multimodal Cardiovascular Signals 185
6.1 Approaches for Fusion 186
6.2 Rule Based Approach 189
6.3 Introduction to Fuzzy Based Decision Making 190
6.4 Fuzzy Logic Approach 192
6.5 Patient States Diagnosis System Implementing Data Fusion 195
6.6 Results and Discussion 197
6.7 Conclusion 202
References 202
7 Classification of Cardiac Patient States Using Artificial Neural Networks 205
7.1 Neural Networks 208
7.2 Backpropagation Learning Algorithm 209
7.2 Self-Organizing Maps as Classifier 211
7.3 Radial Basis Function Networks as Classifiers 214
7.4 Overview of Cardiac Patients States Classification System 216
7.5 Effect of Number of Training Data on Network Performance 220
7.6 Network Performance Analysis 222
7.7 Conclusion 224
References 225
8 The Application of Autoregressive Modeling in Cardiac Arrhythmia Classification 227
8.1 Introduction 227
8.2 Methods 229
8.3 Results 233
8.4 Discussion 240
8.5 Conclusion 242
References 242
9 Classification of Cardiac Abnormalities Using Heart Rate Signals: A Comparative Study 245
9.1 Neural Network Classifier 247
9.2 Inputs to the Classifier 248
9.3 Surrogate Data 249
9.4 Fuzzy Classifier 249
9.5 Neuro-Fuzzy Classifier 252
9.6 Results 257
9.7 Discussion 258
9.8 Conclusion 259
References 260
10 Storage and Transmission of Cardiac Data with Medical Images 262
10.1 Concept of Interleaving 263
10.2 The Interleaving Process 264
10.3 Encryption of the Text File 264
10.4 Encryption of the Graphic File 265
10.5 Interleaving in DFT Domain 267
10.6 Interleaving in DCT 268
10.7 Interleaving in Wavelet Domain 268
10.8 Evaluation of Results 269
10.9 Interleaving Error Correcting Codes 272
10.10 Discussion 276
10.11 Conclusion 277
References 277
11 Assessment of Cardiac Function in Filling & Systolic Ejection Phases: A Mathematical and Clinical Evaluation
11.1 Introduction and Scope 280
11.2 Known Characterization of Left Ventricular Function 280
11.3 Justification for Clinical Indices of Cardiac Function 283
11.4 Passive and Active Elastances of the Left Ventricle 290
11.5 LV ds*/ dtmax as Noninvasive Contractility Index Based on Wall- Normalized Stress 296
11.6 Concluding Remarks 299
References 299
12 Arterial Wave Propagation and Reflection at a Bifurcation Site 305
12.1 Analysis for Pulse Wave Propagation Velocity 306
12.2 Depiction of Pulse Pressure Wave Propagation 312
12.3 Determination of Arterial Elasticity Parameters 313
12.4 Determination of Arterial Impedance from PWV and Arterial Cross- Section Area 316
12.5 Reflection at Arterial Bifurcation 321
12.6 Conclusing Remarks 324
References 324
13 ECG Signal Conditioning by Morphological Filters 327
13.1 Mathematical Morphology Operators 329
13.2 Proposed MMF Algorithm for ECG Signal Conditioning 330
13.3 Experimental Results and Discussion 333
13.4 Conclusion 340
References 341
14 Multivariate Analysis for Cardiovascular and Respiratory Signals 343
14.1 Method 345
14.2 Multichannel Spectral Analysis 346
14.3 Results and Discussion 347
14.4 Conclusion 350
References 351
15 Phase Space Analysis for Cardiovascular Signals 354
15.1 Method 356
15.2 Extension to Higher Dimension 358
15.3 Weighted Spatial Filling Index 358
15.4 Results and Discussion 359
15.5 Conclusion 365
References 365
16 Linear, Non-Linear and Wavelet Analysis of Cardiac Health Using Heart Rate Signals 370
16.1 Data Used for Analysis 372
16.2 Methods Used for Analysis 373
16.3 Results 374
16.4 Discussions 378
16.5 Surrogate Data 385
16.6 Conclusion 386
References 386
17 Soft Tissue Biomechanics of the Left Ventricular Myocardium 391
17.1 Introduction 391
17.2 Previous Research on Soft Tissue Biomechanics 392
17.3 Integrative Model 401
17.4 Conclusion 410
References 412
18 Wavelets and its Application in Cardiology 420
18.1 The Fourier Transform 420
18.2 Short Time Fourier Transform 421
18.3 Continuous Wavelet Transform (CWT) 422
18.4 Discrete Wavelet Transform (DWT) 423
18.5 Multi Resolution Analysis (MRA) 424
18.6 Some Applications 427
18.7 Conclusion 434
References 434
19 1/f Fluctuation of Heart Rate in Postoperative and Brain- Dead Patients 436
19.1 Data Acquistion 437
19.2 Data Analysis 438
19.3 Results 439
19.4 Discussion 449
References 453
20 Stress During Speech Therapy 455
20.1 Speech Therapy 455
20.2 Heart Rate Variability and Stress 456
20.3 Calculating the RR Interval 456
20.4 Experimental Methods 457
20.5 Results 458
20.6 Program with Relaxation 458
20.7 Conclusion 461
References 461
Color Plates 462
Index 469

Produkt-Details

• Erscheint lt. Verlag: 25.4.2007
• Mitarbeit: Stellvertretende Herausgeber: Biocom Technologies
• Zusatzinfo: XXII, 468 p. 268 illus., 13 illus. in color.
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete ► Innere Medizin
• Themenwelt: Naturwissenschaften ► Physik / Astronomie
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: ANOVA • Arrhythmia • arterial blood pressure • Artificial Neural Network • autonomic nervous system • Biomechanics • cardiac function • Cardiovascular • classification • Data Mining • Electrocardiogram • fuzzy equivalence relation • Fuzzy Logic • heart rate • Heart rate variability • Hurst exponent • Intensive care unit • linear optimization • Lyapunov exponent • Mechanics • Modelling • multiple sensor systems • Poincare plot • pulmonary oedema • QRS complex • Reflexology • self organizing map • Signal • tissue • Visualization • Wavelet
• ISBN-10: 3-540-36675-X / 354036675X
• ISBN-13: 978-3-540-36675-1 / 9783540366751