Title :
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
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;
Conference_Titel :
Computers in Cardiology 1994
Conference_Location :
Bethesda, MD, USA
Print_ISBN :
0-8186-6570-X
DOI :
10.1109/CIC.1994.470091
