NDLI: Improved frequency-domain analysis of ventricular late potentials

Content Provider	IEEE Xplore Digital Library
Author	Lin, C.C.
Copyright Year	2005
Description	Author affiliation: Dept. of Electron. Eng., Lunghwa Univ. of Sci. & Technol. (Lin, C.C.)
Abstract	Many methods of segment selection of various lengths and locations in the high-frequency spectral analysis of ventricular late potentials (VLPs) in signal-averaged electrocardiograms (SAECGs) have been demonstrated to yield conflicting results in clinical applications. This work compares of a new locally developed method with two existing methods for detecting VLPs in the frequency domain. A total of 154 normal individuals, 94 patients with frequent ventricular premature contraction (VPC) and 26 patients with sustained ventricular tachycardia (VT) were recruited for the study. Two existing methods use a 120 ms time segment, starting from 20 ms before spatial vector velocity <5 mV/s and vector magnitude <40 muV at the terminal QRS complex, to analyze the VLPs. A locally developed 80 ms segment, starting from 60 ms before the QRS offset, was shown to outperform these two currently adopted methods. The areas under the receiver operating curves (AUCs) of the root-mean-square amplitude (RMSA) in the 60 to 120 Hz band were 82.2% versus 60.2% and 55.2%, and the AUCs of the RMSA ratio (RMSAR) (100times[60 to 120 Hz RMSA/0 to 120 Hz RMSA]) were 77.2% versus 54.9% and 53.1%. The locally developed method, which uses the QRS offset as a reference for selecting segments is determined substantially to improve VLPs analysis in the frequency domain
Starting Page	479
Ending Page	482
File Size	105664
Page Count	4
File Format	PDF
ISBN	0780393376
DOI	10.1109/CIC.2005.1588141
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-25
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency domain analysis Electrocardiography Signal analysis Aging Hospitals Cardiology Spectral analysis Heart rate variability Signal resolution Time domain analysis
Content Type	Text
Resource Type	Article

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