Name
Title | ||
|---|---|---|
Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification. |
Abstract | ||
|---|---|---|
We present a study of the nonlinear dynamics of electrocardiogram (ECG) signals for arrhythmia characterization. The correlation dimension and largest Lyapunov exponent are used to model the chaotic nature of five different classes of ECG signals. The model parameters are evaluated for a large number of real ECG signals within each class and the results are reported. The presented algorithms allow automatic calculation of the features. The statistical analysis of the calculated features indicates that they differ significantly between normal heart rhythm and the different arrhythmia types and, hence, can be rather useful in ECG arrhythmia detection. On the other hand, the results indicate that the discrimination between different arrhythmia types is difficult using such features. The results of this work are supported by statistical analysis that provides a clear outline for the potential uses and limitations of these features. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TBME.2002.1010858 | IEEE transactions on bio-medical engineering |
Keywords | Field | DocType |
different arrhythmia types,largest lyapunov exponent,electrocardiography,correlation dimension,nonlinear dynamical modeling,algorithms,model parameters,biocontrol,ecg arrhythmia detection,chaos,chaotic nature,statistical analysis,features,pattern classification,nonlinear dynamical systems,normal heart rhythm,medical signal processing,feature extraction,electrocardiogram signals,automatic calculation,real ecg signals,lyapunov methods,ecg arrhythmia classification,discrimination | Nonlinear system,Computer science,Dynamical modeling,Feature extraction,Electronic engineering,Correlation dimension,Chaotic,Electrocardiography,Lyapunov exponent,Statistical analysis | Journal |
Volume | Issue | ISSN |
49 | 7 | 0018-9294 |
Citations | PageRank | References |
57 | 6.25 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed I Owis | 1 | 57 | 6.25 |
| Ahmed H Abou-Zied | 2 | 57 | 6.25 |
| Abou-Bakr M Youssef | 3 | 182 | 15.81 |
| Y. M. Kadah | 4 | 192 | 18.80 |