Title :
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
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
