Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram

C. Charayaphan; A. E. Marble; S. T. Nugent; D. Swingler

doi:10.1016/0141-5425(92)90106-U

Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram

C. Charayaphan, A. E. Marble, S. T. Nugent, D. Swingler

Medicine

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages (from-to)	516-520
Number of pages	5
Journal	Journal of Biomedical Engineering
Volume	14
Issue number	6
DOIs	https://doi.org/10.1016/0141-5425(92)90106-U
Publication status	Published - Nov 1992

ASJC Scopus Subject Areas

Biophysics

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Charayaphan, C., Marble, A. E., Nugent, S. T., & Swingler, D. (1992). Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram. Journal of Biomedical Engineering, 14(6), 516-520. https://doi.org/10.1016/0141-5425(92)90106-U

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Correlation algorithm and sampling techniques for estimating the signal-to-noise ratio of the electrocardiogram

Abstract

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