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Optimizing signal averaging methods

Authors: P. Lander; E.J. Berbari;

Optimizing signal averaging methods

Abstract

A method of optimizing signal averaged recordings is described, in which the signal average remains unbiased. This is in contrast to techniques such as weighted averaging, where beats are given a weighting in the average that is proportional to their noise content. In a study of 22 ambulatory subjects, noise was reduced via signal averaging to a mean RMS level of 0.57+or-0.24 mu V. The number of beats averaged range from 198 to 3354 with a mean of 1410. The level of noise after averaging the ambulatory recording was greater than but still comparable to that of conventional signal averages performed on the same day. These results suggest that it is feasible to perform quality controlled signal averaging from ambulatory ECG recordings. >

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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