Conference paper
An iterative noise reduction method for electrocardiogram
In this paper, two novel iterative (orthogonal and non-orthogonal projection) schemes are proposed for noise reduction in electrocardiogram (ECG). These methods are first tried out on the well-known Lorenz system before extending to the recorded ECG signals. Results from the studies show that for the same signal-to-noise ratio (SNR) improvement, the nonorthogonal projection method (M2) requires less iterations than the orthogonal projection method (M1).
More importantly, the iterative nature of the algorithms improve the performance of the schemes compared to the non-iterative schemes.
Language: | English |
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Year: | 2002 |
Pages: | 58,59 |
Proceedings: | Conference Proceedings. Second Joint EMBS-BMES Conference 2002 24th Annual International Conference of the Engineering in Medicine and Biology Society. Annual Fall Meeting of the Biomedical Engineering Society |
ISBN: | 0780376129 and 9780780376120 |
ISSN: | 15584615 and 1094687x |
Types: | Conference paper |
DOI: | 10.1109/IEMBS.2002.1134386 |
Chaos Covariance matrix Delay Drives Electrocardiography Iterative algorithms Iterative methods Lorenz system Measurement errors Noise reduction Signal to noise ratio algorithms chaos electrocardiography electrodiagnostics iterative algorithm iterative methods local geometric projection medical signal processing noise nonorthogonal projection orthogonal projection recorded ECG signals signal-to-noise ratio improvement