Feature Extraction for ECG Time-Series Mining Based on Chaos Theory (CROSBI ID 528700)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jović, Alan ; Bogunović, Nikola
engleski
Feature Extraction for ECG Time-Series Mining Based on Chaos Theory
Chaos theory applied to ECG feature extraction is presented in this article. Several chaos methods, including phase space and attractors, correlation dimension, spatial filling index, central tendency measure and approximate entropy are explained in detail. A new feature extraction environment called ECG Chaos Extractor has been created in order to apply these chaos methods. System model and program functions are presented. Some of the obtained results are listed. Future work in this field of research is discussed.
chaos theory; feature extraction; ECG analysis
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
63-68-x.
2007.
objavljeno
Podaci o matičnoj publikaciji
Luzar - Stiffler, Vesna ; Hljuz Dobric, Vesna
Zagreb:
978-953-7138-10-3
Podaci o skupu
29th International Conference on Information Technology Interfaces (ITI 2007)
predavanje
25.06.2007-28.06.2007
Cavtat, Hrvatska