Title :
Analysis of Electrocardiograms Using the Convolution Kernel Compensation Approach
Author :
Zazula, D. ; Holobar, A. ; Angely, F.
Author_Institution :
Maribor Univ., Maribor
Abstract :
This paper deals with the problem of electrocardiogram (ECG) detection and classification. We introduce a novel approach using the convolution kernel compensation (CKC) method, which tackles the tasks of detection and classification at the same time. The obtained results are comparable to the reported rates obtained by recent algorithms used separately for ECG detection and classification.
Keywords :
bioelectric phenomena; convolution; electrocardiography; medical signal detection; medical signal processing; neurophysiology; signal classification; ECG classification; ECG detection; convolution kernel compensation approach; electrocardiograms; Convolution; Decision support systems; Hafnium; Kernel; Convolution kernel compensation; Electrocardiogram analysis; Heartbeat detection and classification;
Conference_Titel :
Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
Conference_Location :
Maribor
Print_ISBN :
978-961-248-029-5
Electronic_ISBN :
978-961-248-029-5
DOI :
10.1109/IWSSIP.2007.4381153
