COMPARISON OF SIGNAL-AVERAGED ELECTROCARDIOGRAMS WITH DIFFERENT LEVELS OF NOISE - TIME-DOMAIN, FREQUENCY-DOMAIN, AND SPECTROTEMPORAL ANALYSIS

Citation
Tn. Maounis et al., COMPARISON OF SIGNAL-AVERAGED ELECTROCARDIOGRAMS WITH DIFFERENT LEVELS OF NOISE - TIME-DOMAIN, FREQUENCY-DOMAIN, AND SPECTROTEMPORAL ANALYSIS, PACE, 20(3), 1997, pp. 671-682
Citations number
29
Journal title
PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY
ISSN journal
01478389 → ACNP
Volume
20
Issue
3
Year of publication
1997
Part
1
Pages
671 - 682
Database
ISI
SICI code
0147-8389(1997)20:3<671:COSEWD>2.0.ZU;2-R
Abstract
In order to test the effect of noise on the various parameters of the SAECG, 83 patients underwent three consecutive recordings at different noise levels. The high noise (HN) recordings had a noise level of 0.6 0-0.74 mu V, the intermediate noise (IN) had 0.31-0.59 mu V, and the l ow noise (LN) had less than or equal to 0.30 mu V. For the calculation of noise we used the standard deviation of the mean noise of the comp osite lead high pass filtered at 40 Hz. The recordings were compared u sing time-domain, frequency-domain, and spectrotemporal analysis. The time-domain parameters of the LN recordings, using 25-Hz, 40-Hz, and 6 0-Hz high pass cutoffs, were significantly different from those of the HN or IN recordings (P < 0.05). In the frequency-domain analysis, sig nificant differences were found in some of the parameters of the LN co mpared to the HN. The spectrotemporal analysis of the X and Z leads al so showed significant differences among the LN and the other recording s. In the time-domain analysis, both at 40 Hz and 25 Hz, there were mo re abnormal LN compared to the HN recordings (P < 0.05). In the spectr otemporal analysis, there were significantly more abnormal HN and IN r ecordings compared to the LN (P < 0.001 and P < 0.01, respectively). T herefore, the level of noise, even within the acceptable range, can si gnificantly affect the SAECG. In the time domain at the lower noise le vels the parameters become more abnormal, while the opposite seems to occur in the spectral and the spectrotemporal analysis.