ANALYSIS OF INTERVAL MEASUREMENTS ON CSE MULTILEAD REFERENCE ECGS

Citation
Brs. Reddy et al., ANALYSIS OF INTERVAL MEASUREMENTS ON CSE MULTILEAD REFERENCE ECGS, Journal of electrocardiology, 29, 1996, pp. 62-66
Citations number
3
Categorie Soggetti
Cardiac & Cardiovascular System
ISSN journal
00220736
Volume
29
Year of publication
1996
Supplement
S
Pages
62 - 66
Database
ISI
SICI code
0022-0736(1996)29:<62:AOIMOC>2.0.ZU;2-D
Abstract
As part of the International Electrotechnical Commission's (IEC) effor ts to develop standards for interpretive electrocardiographs, electroc ardiograms (ECGs of the Common Standards of Electrocardiography (CSE) multilead measurement database were processed to (1) determine whether original ECG data would offer any advantage over cycle-repeated (arti ficial) ECGs and (2) compare the ''clean'' ECGs selected for interval measurement compliance testing (n = 100) with the remaining 25 ''noisy '' or nonsinus rhythm ECGs. Two sets of CSE measurement ECGs, namely, 125 original ECGs of the MO1 series and 125 artificial ECGs of the MA1 series were divided into 100 IEC-selected clean ECGs with good P and T waves and 25 noisy or nonsinus ECGs and processed for global wave du ration and interval measurements (P duration, PR interval, QRS duratio n, and QT interval). The measured duration and interval values were co mpared against the CSE reference values (medians of referee values for 25 physician overread ECGs and medians of interpretive programs for t he rest) to compute the measurement ''differences.'' Also, the data of the median cardiac complex were evaluated for noise content. The orig inal ECG data gave consistently smaller differences for all of the fou r measurements than the differences with the artificial ECG data. The noise levels in the median complexes formed from the original ECG data were significantly lower than the noise levels in the median complexe s from the artificial ECG data. The noise levels in the medians of the 100 clean ECGs were lower than the noise levels in the medians of the 25 noisy ECGs for both the original and artificial ECG data.