ECG Signal Processing, Classification and Interpretation : A Comprehensive Framework of Computational Intelligence
Electrocardiogram (ECG) signals are among the most important sources of diagnostic information in healthcare so improvements in their analysis may also have telling consequences. Both the underlying signal technology and a burgeoning variety of algorithms and systems developments have proved success...
Đã lưu trong:
| Tác giả chính: | |
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| Tác giả khác: | , |
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
London :
Springer London
2012.
Cham : Springer Nature |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • ECG Signal Processing, Classification and Interpretation, Texte imprimé, 9780857298676 • ECG Signal Processing, Classification and Interpretation, Texte imprimé, 9780857298690 • ECG Signal Processing, Classification and Interpretation, Texte imprimé, 9781447159209 |
Mục lục:
- Part I: Introduction
- Introduction to ECG Signal Processing
- Fuzzy Sets: A Primer
- Neural Networks and Neurocomputing
- Evolutionary and Population-based Optimization
- Part II: Techniques and Models of Computational Intelligence for ECG Signal Analysis and Classification
- Neurocomputing in ECG Signal Classification
- Knowledge-based Representation and Processing of ECG Signals: A Fuzzy Set Approach
- Evolutionary Optimization of ECG Signal Analysis and Classification
- Granular Models of ECG Signal Analysis and Their Refinements and Abstractions
- Hybrid Architectures of ECG Analyzers and Classifiers. Part III: Computational-intelligence-based ECG System Diagnostic, Interpretation and Knowledge Acquisition Architectures
- Diagnostic ECG Systems and Computational Intelligence: Development Issues
- Interpretation of ECG Signals: A Systems Approach
- Knowledge Representation and ECG Diagnostic and Interpretation Systems.