NDLI: A new method for evaluating ECG signal quality for multi-lead arrhythmia analysis

Content Provider	IEEE Xplore Digital Library
Author	Wang, J.Y.
Copyright Year	2002
Description	Author affiliation: Philips Med. Syst., Andover, MA, USA (Wang, J.Y.)
Abstract	A simple and computationally efficient new signal quality measure that is responsive to combinations of both physiological and non-physiological noise has been developed The new signal quality measure is based on the use of the area differences between successive QRS complexes. The signal quality assessment for each lead is made on the basis of the characteristics of the statistical distribution of the area differences obtained over a period of time. The new signal quality measure was evaluated using the 44 non-paced patient records from the MIT-BIH two-channel arrhythmia database. Results presented in histogram and cumulative histogram plots showed that the signal quality can be accurately assessed using this new method. Of the total 44 non-paced records, the new method identified 22 records where one of the two leads had much better signal quality than the other lead When this information was used for arrhythmia analysis, the averaged PVC false positive rate was 0.47% for leads that were selected by the new method, and 2.56% for leads that were not selected These results clearly showed that the new signal quality measure developed can be used to accurately assess the ECG signal quality and can be incorporated easily into existing arrhythmia algorithms for performance improvement.
Starting Page	85
Ending Page	88
File Size	354703
Page Count	4
File Format	PDF
ISBN	0780377354
ISSN	02766547
DOI	10.1109/CIC.2002.1166713
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Signal analysis Signal processing Area measurement Noise measurement Histograms Quality assessment Statistical distributions Databases Information analysis
Content Type	Text
Resource Type	Article

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