Title :
Optimizing signal averaging methods
Author :
Lander, Paul ; Berbari, Edward J.
Author_Institution :
Health Sci. Center, Oklahoma Univ., Oklahoma City, OK, USA
Abstract :
A method of optimizing signal averaged recordings is described, in which the signal average remains unbiased. This is in contrast to techniques such as weighted averaging, where beats are given a weighting in the average that is proportional to their noise content. In a study of 22 ambulatory subjects, noise was reduced via signal averaging to a mean RMS level of 0.57±0.24 μV. The number of beats averaged range from 198 to 3354 with a mean of 1410. The level of noise after averaging the ambulatory recording was greater than but still comparable to that of conventional signal averages performed on the same day. These results suggest that it is feasible to perform quality controlled signal averaging from ambulatory ECG recordings
Keywords :
electrocardiography; optimisation; signal processing; 0.57 muV; ambulatory ECG recordings; ambulatory subjects; quality controlled signal averaging; signal averaging methods optimisation; signal noise; weighted averaging; Cities and towns; Electrocardiography; Monitoring; Myocardium; Noise figure; Noise level; Optimization methods; Signal processing; Signal to noise ratio; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95550
