Signal-to-noise ratio enhancement of cardiac late potentials using ensemble correlation

Author

Atarius, Roozbeh ; Sörnmo, Leif

Author_Institution

Dept. of Signal Process. & Clinical Physiol., Lund Univ., Sweden

Volume

42

Issue

11

fYear

1995

Firstpage

1132

Lastpage

1137

Abstract

An optimal one-weight filter is presented for the purpose of improving the signal-to-noise ratio of averaged ECG recordings in the analysis of late potentials. Based on a simple statistical model, the filter is estimated from the ensemble correlation of available beats. The correlation estimator is found by a maximum likelihood procedure in which the observed signal is assumed to have a Gaussian distribution. The performance of the optimal filter is studied in relation to an ensemble with individual or subaveraged beats.

Keywords

Gaussian distribution; electrocardiography; medical signal processing; Gaussian distribution; available beats; cardiac late potentials; correlation estimator; ensemble correlation; individual beats; maximum likelihood procedure; optimal filter performance; optimal one-weight filter; signal-to-noise ratio enhancement; simple statistical model; subaveraged beats; Bioelectric phenomena; Digital filters; Electric potential; Electrocardiography; Filtering; IIR filters; Interference; Power harmonic filters; Signal to noise ratio; Wiener filter; Action Potentials; Artifacts; Electrocardiography; Humans; Likelihood Functions; Normal Distribution; Reproducibility of Results; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.469380

Filename

469380