Signal-to-noise ratio enhancement for the detection of late potentials

Author

Atarius, R. ; Sörnmo, L.

Author_Institution

Signal Processing Group, Lund Univ., Sweden

fYear

1994

fDate

25-28 Sept. 1994

Firstpage

689

Lastpage

692

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 number of 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 consisting either of individual or subaveraged beats. A number of cases with low-amplitude late potentials are also presented.<>

Keywords

Gaussian distribution; bioelectric potentials; electrocardiography; medical signal processing; Gaussian distribution; averaged ECG recordings; ensemble correlation; individual beats; late potentials detection; low-amplitude late potentials; maximum likelihood procedure; optimal one-weight filter; signal-to-noise ratio enhancement; simple statistical model; subaveraged beats; Bioelectric phenomena; Electric potential; Electrocardiography; Filtering; Gaussian noise; Maximum likelihood estimation; Signal design; Signal processing; Signal to noise ratio; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1994

Conference_Location

Bethesda, MD, USA

Print_ISBN

0-8186-6570-X

Type

conf

DOI

10.1109/CIC.1994.470092

Filename

470092