| 000 -LEADER |
|---|
| fixed length control field |
04712nam a22004335i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20140310143331.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
110916s2012 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780857298683 |
|
978-0-85729-868-3 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
610.28 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
London : |
| -- |
Springer London, |
| -- |
2012. |
| 912 ## - |
|---|
| -- |
ZDB-2-ENG |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gacek, Adam. |
| Relator term |
editor. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
ECG Signal Processing, Classification and Interpretation |
| Medium |
[electronic resource] : |
| Remainder of title |
A Comprehensive Framework of Computational Intelligence / |
| Statement of responsibility, etc |
edited by Adam Gacek, Witold Pedrycz. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
X, 278p. 104 illus., 61 illus. in color. |
| Other physical details |
online resource. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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 successful targets for recent rapid advances in research. ECG Signal Processing, Classification and Interpretation shows how the various paradigms of Computational Intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. Neural networks do well at capturing the nonlinear nature of the signals, information granules realized as fuzzy sets help to confer interpretability on the data and evolutionary optimization may be critical in supporting the structural development of ECG classifiers and models of ECG signals. The contributors address concepts, methodology, algorithms, and case studies and applications exploiting the paradigm of Computational Intelligence as a conceptually appealing and practically sound technology for ECG signal processing. The text is self-contained, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts: · Part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis; · Part II deals with techniques and models of computational intelligence that are suitable for signal processing; and · Part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. A wealth of carefully organized illustrative material is included: brief numerical experiments; detailed schemes, and more advanced problems. ECG Signal Processing, Classification and Interpretation will appeal to engineers working in the field of medical equipment and to researchers investigating biomedical signal processing, bioinformatics, Computational Intelligence and its applications, bioengineering and instrumentation. The three-part structure of the material also makes the book a useful reference source for graduate students in these disciplines. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Cardiology. |
|
|---|
| Topical term or geographic name as entry element |
Biomedical engineering. |
|
|---|
| Topical term or geographic name as entry element |
Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Biomedical Engineering. |
|
|---|
| Topical term or geographic name as entry element |
Signal, Image and Speech Processing. |
|
|---|
| Topical term or geographic name as entry element |
Cardiology. |
|
|---|
| Topical term or geographic name as entry element |
Computational Intelligence. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pedrycz, Witold. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9780857298676 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-0-85729-868-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
