Classifying electrocardiogram peaks using new wavelet domain features

Computers in Cardiology

Volumn 35, Issue , 2008, Pages 853-856

  Vansteenkiste, E ^a,c   Houben, R ^b   Pizurica, A ^a   Philips, W ^a  

^a GHENT UNIVERSITY   (Belgium)

^b MEDTRONIC BAKKEN RESEARCH CENTER   (Netherlands)

^c NONE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES;

ACCURACY RATES; CLASSIFICATION FEATURES; DIMENSIONALITY REDUCTION TECHNIQUES; ECG SIGNALS; MULTIDIMENSIONAL CLUSTERING; TIME DOMAINS; WAVELET DOMAIN FEATURES; WAVELET DOMAINS;

WAVELET TRANSFORMS;

EID: 62249105922     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2008.4749176     Document Type: Conference Paper

References (3)

1. Piurica A, Philips W, Lemahieu I and Acheroy M. A Joint Inter- and Intrascale Statistical Model for Bayesian Wavelet Based Image Denoising," IEEE Trans. Image Processing 2000;11(5):545-57.
2. Mallat S, Zhong S. Characterization of Signals from Multiscale Edges. IEEE Trans. on Pattern Anal. and Machine Intel 1992;14(7):710-732.
3. K. Fukunaga. Introduction to Statistical Pattern Recognition. Academic Press 1990.