Performance assessment of optimal filtering of the high resolution electrocardiogram

Author

Lander, Paul ; Berbari, Edward J.

Author_Institution

Health Sci. Center, Oklahoma Univ., Oklahoma City, OK, USA

fYear

1994

fDate

25-28 Sept. 1994

Firstpage

693

Lastpage

695

Abstract

The high resolution electrocardiogram (HRECG) currently requires ensemble averaging of 200-600 beats to produce a high fidelity signal estimate. An optimal filter in the setting of the time-frequency plane has the potential to enhance the signal-to-noise ratio of the ensemble average significantly. Unfortunately, optimal filters often introduce unacceptable signal distortion. The authors report a performance assessment of the time-frequency plane optimal filtering method. The perspective is of improving overall signal fidelity while reducing noise, with intended superior performance compared to ensemble averaging.<>

Keywords

electrocardiography; filtering theory; medical signal processing; ensemble averaging; high fidelity signal estimate; high resolution electrocardiogram; noise reduction; optimal filtering performance assessment; overall signal fidelity improvement; time-frequency plane setting; unacceptable signal distortion; Adaptive filters; Distortion; Distributed computing; Electrocardiography; Filtering; Noise reduction; Signal resolution; Signal to noise ratio; Time frequency analysis; 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.1994.470091

Filename

470091