NDLI: Analysis of unpredictable intra-QRS potentials based on multi-step linear prediction modeling for evaluating the risk of ventricular arrhythmias

Content Provider	IEEE Xplore Digital Library
Author	Lin, C.C. Hu, W.C.
Copyright Year	2007
Description	Author affiliation: Dept. of Electron. Eng., Lunghwa Univ. of Sci. & Technol., Taoyuan (Lin, C.C.) \|\| Dept. of Biomed. Eng., Chung Yuan Christian Univ., Chungli (Hu, W.C.)
Abstract	The abnormal intra-QRS potentials (AIQP) have been proposed to evaluate the risk of ventricular arrhythmias. However, the extremely low signal-to-noise ratio (AIQP vs. normal QRS) and the overlap between AIQP and normal QRS would limit the accuracy of AIQP estimation. This study proposed a multi-step linear prediction modeling to estimate all of the unpredictable intra-QRS potentials (UIQP) for evaluating the risk of ventricular arrhythmias. The simulation results were showing that the prediction error signal can reflect the variations at slope discontinuities of QRS complex, including onset, offset, sharp R wave and AIQP. The results have also showed that the significant reduction of UIQP in patients with ventricular tachycardia may be new promising evidence of ventricular arrhythmias.
Starting Page	793
Ending Page	796
File Size	1608769
Page Count	4
File Format	PDF
ISBN	9781424425334
ISSN	02766547
DOI	10.1109/CIC.2007.4745605
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Risk analysis Predictive models Finite impulse response filter Autoregressive processes Wiener filter Biomedical engineering Electrocardiography Noise level Time domain analysis Optical wavelength conversion
Content Type	Text
Resource Type	Article

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Analysis of Unpredictable Intra-QRS Potentials Based on Multi-Step Linear Prediction Modeling for Evaluating the Risk of Ventricular Arrhythmias

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