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Advanced Methods and Tools for ECG Data Analysis.
Here?s a cutting-edge, practical book that offers you a thorough understanding of state-of-the-art techniques for electrocardiogram (ECG) data analysis. Placing emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intellig...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Norwood :
Artech House,
2006.
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| Colección: | Engineering in Medicine & Biology.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Advanced Methods and Tools for ECG Data Analysis; Contents v; Preface xi; Chapter 1 The Physiological Basis of the Electrocardiogram 1; Chapter 2 ECG Acquisition, Storage, Transmission, and Representation 27; Chapter 3 ECG Statistics, Noise, Artifacts, and Missing Data 55; Chapter 4 Models for ECG and RR Interval Processes 101; Chapter 5 Linear Filtering Methods 135; Chapter 6 Nonlinear Filtering Techniques 171; Chapter 7 The Pathophysiology Guided Assessment of T-Wave Alternans 197; Chapter 8 ECG-Derived Respiratory Frequency Estimation 215; Chapter 9 Introduction to Feature Extraction 245.
- Chapter 10 ST Analysis 269Chapter 11 Probabilistic Approaches to ECG Segmentation and Feature Extraction 291; Chapter 12 Supervised Learning Methods for ECG Classification/Neural Networks and SVM Approaches 319; Chapter 13 An Introduction to Unsupervised Learning for ECG Classification 339; About the Authors 367; Index 371.