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Method and system for the denoising of large-amplitude artifacts in electrograms using time-frequency transforms

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TLDR
In this paper, a method utilizing the time-frequency transforms, such as wavelet transforms, for the purpose of artifact removal from EGs is presented. But the present method is not suitable for non-stationary signal analysis, since the transform decomposes a signal in both time and frequency domains.
Abstract
The present invention relates to a method of signal processing of electrograms for use in medical devices, preferably by time-frequency transforms. The present invention additionally relates to a system for receiving and analyzing such signals. The present invention preferably is a method utilizing the time-frequency transforms, such as wavelet transforms, for the purpose of artifact removal from EGs. These transforms decompose a signal in both time and frequency domains, and therefore, are well suited for non-stationary signal analysis. As a result, dissimilar signal features are well localized both in time and frequency, which potentially provides a good separation between the signal of interest and artifacts. This particularly applies to large-amplitude artifacts corrupting EGs.

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References
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