Why the study?
Does spectral decomposition for weighting the coherent average of beats reduce the number of beats required to achieve a target noise level in high-resolution electrocardiograms compared to conventional nonweighted average?
Does spectral decomposition for weighting the coherent average of beats reduce the number of beats required to achieve a target noise level in high-resolution electrocardiograms compared to conventional nonweighted average?
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A novel spectral decomposition technique improves high-resolution ECG quality by reducing the number of beats needed to minimize myoelectric noise.
This paper proposes a technique to improve the quality of high-resolution electrocardiogram by weighting the coherent average of beats by a function of the energy of the corrupting myoelectric noise, prior to subsequent detection of ventricular late potentials. The results obtained with 20 patients indicate the method requires fewer beats than conventional nonweighted average to achieve the same noise level.
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Barbosa-Filho et al. (2003) studied this question.
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