CCE Faculty Articles
Parametric Modeling for Estimating Abnormal Intra-QRS Potentials in Signal-Averaged Electrocardiograms: A Subspace Identification Approach
Document Type
Article
Publication Title
IFAC Proceedings Volumes
Event Date/Location
Brussels, Belgium
ISSN
1474-6670
Publication Date
7-2012
Abstract
This paper addresses the detection and classification of low amplitude signals within the QRS complex of the signal-averaged electrocardiogram. Linear and bilinear Kalman filter models are fitted using the subspace system identification family of algorithms. If the residuals from the models are a white noise process, then anything that cannot be modeled with the state-space models will show up in the residuals as low amplitude signal + noise. Diagnostic tests and analysis on the residuals will then lead to detection and classification of abnormalities in the intra-QRS complex. The end result is a diagnostic tool to aid the physician.
DOI
10.3182/20120711-3-BE-2027.00402
Volume
45
Issue
16
First Page
565
Last Page
570
NSUWorks Citation
Ramos, Jose A. and Lopes dos Santos, Paulo, "Parametric Modeling for Estimating Abnormal Intra-QRS Potentials in Signal-Averaged Electrocardiograms: A Subspace Identification Approach" (2012). CCE Faculty Articles. 409.
https://nsuworks.nova.edu/gscis_facarticles/409
