Title :
A new fitting approach for online electrocardiogram component waves delineation
Author :
Zoghlami, E. ; Ayari, E.P. ; Tielert, R. ; Wehn, N.
Author_Institution :
Tech. Univ. of Kaiserslautern, Kaiserslautern
Abstract :
A real-time capable and accurate template-based fitting approach for the detection and delineation of all the QRS-complexes, P-, and T-waves is presented. The ECG features extraction is accomplished with a very low amount of ECG signal preprocessing. The performance of our proposed algorithm is validated using ECG records from both the MIT-BIH Arrhythmia and QT standard databases. All of the ECG component waves detectors achieved very high detection rates, detecting correctly up to 3015, 3013, and 3010 QRS-complexes, P- and T-waves respectively from 3015 cardiac beats. The delineation results showed that the standard deviations of the errors are within the tolerance limits.
Keywords :
curve fitting; electrocardiography; feature extraction; medical signal processing; ECG component delineation; ECG component detection; ECG feature extraction; ECG signal preprocessing; MIT-BIH Arrhythmia database; P-wave; QRS complex; QT standard database; T-wave; electrocardiogram; template based fitting approach; Continuous wavelet transforms; Detectors; Electrocardiography; Feature extraction; Filtering; Optimization methods; Signal processing algorithms; Spatial databases; Timing; Wavelet transforms;
Conference_Titel :
Computers in Cardiology, 2008
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-3706-1
DOI :
10.1109/CIC.2008.4749178