Analysis of ECG Records using ECG Chaos Extractor Platform and Weka System (CROSBI ID 540337)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jović, Alan ; Bogunović, Nikola
engleski
Analysis of ECG Records using ECG Chaos Extractor Platform and Weka System
Clustering and classification of ECG records for four patient classes from the internet databases by using the Weka system. Patient classes include normal, atrial arrhythmia, supraventricular arrhythmia and CHF. Chaos features are extracted automatically by using the ECG Chaos Extractor platform and recorded in Arff files. The list of features includes: correlation dimension, central tendency measure, spatial filling index and approximate entropy. Both ECG signal files and ECG annotations files are analyzed. The results show that chaos features can successfully cluster and classify the ECG annotations records by using standard and efficient algorithms such as EM and C4.5.
chaos features; ECG analysis; clustering methods; classification methods
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Podaci o prilogu
347-352.
2008.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the ITI 2008 30th International Conference on Information Technology Interfaces
Luzar-Stiffler, Vesna ; Hljuz Dobrić, Vesna ; Bekić, Zoran
Zagreb: Institute of Electrical and Electronics Engineers (IEEE)
978-953-7138-12-7
1330-1012
Podaci o skupu
Information Technology Interfaces - ITI 2008
predavanje
23.06.2008-26.06.2008
Cavtat, Hrvatska