Key result
A proposed correlation algorithm and sampling techniques were developed and tested on simulated data and the electrocardiograms of 10 patients to estimate signal-to-noise ratio.
A novel correlation-based algorithm and sampling technique can estimate the signal-to-noise ratio of electrocardiograms contaminated by white and flicker noise.
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.
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Marble et al. (1992) studied this question. Correlation algorithm and sampling techniques was evaluated on Estimation of the signal-to-noise ratio of very low frequency signals. A proposed correlation algorithm and sampling techniques were developed and tested on simulated data and the electrocardiograms of 10 patients to estimate signal-to-noise ratio.
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