NDLI: Automatic optimum order selection of parametric modelling for the evaluation of abnormal intra-QRS signals in signal-averaged electrocardiograms

Content Provider	Springer Nature Link
Author	Lin, C. C. Chen, C. M. Yang, I. F. Yang, T. F.
Copyright Year	2005
Abstract	Abnormal intra-QRS potentials (AIQPs) in signal-averaged electrocardiograms have been proposed as a risk evaluation index for ventricular arrhythmias. The purpose of the paper was to develop an automatic algorithm for selecting the optimum parametric model order in the analysis of AIQPs to make the modelling approach clinically more feasible. A total of 130 normal Taiwanese subjects and 87 patients with ventricular premature contractions and 23 with sustained ventricular tachycardia were recruited. The unpredictable AIQP signal was estimated from the modelling residual. The cross-correlation coefficient between the original signal and the QRS estimate was employed to evaluate the accuracy of the estimate. A pre-selected threshold cross-correlation coefficient of 0.9999 was used to determine the optimum order. The mean AIQP in lead Y for ventricular tachycardia patients was 3.9 μV, which was significantly smaller than 4.9 μV for ventricular premature contraction patients (p<0.01) and 6.3 μV for normal subjects (p<0.001). The linear combination of AIQP in lead Y and the time-domain parameter RMS40 provided the best global performance (the area under the receiver operating characteristic curve was 89.1%). A higher risk of ventricular arrhythmias was associated with lower AIQP in lead Y, and the automatic modelling algorithm improved the clinical feasibility of AIQP analysis.
Starting Page	218
Ending Page	224
Page Count	7
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	43
Issue Number	2
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Signal-averaged electrocardiogram Ventricular late potentials Discrete cosine transform Parametric modelling Abnormal intra-QRS potentials Ventricular arrhythmias Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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