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Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram
C Charayaphan1, A E Marble, S T Nugent
1Department of Electrical Engineering, Technical University of Nova Scotia, Canada.
Abstract:
An algorithm, based on correlation techniques, is proposed for estimating the signal-to-noise ratio of very low frequency signals contaminated by white and flicker noise. Sampling techniques based on converting a single continuous signal into two time series that satisfy the requirements of cross-correlation functions are proposed. The algorithm has been tested on simulated data and the electrocardiogram transduced from ten patients.