Biomedical signal denoising techniques

A - Human Necessities – 61 – B

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A61B 5/00 (2006.01)

Patent

CA 2520761

The invention is directed to denoising techniques for electrograms, or other biomedical signals, in which wavelet transformations are used in the denoising process. For example, an electrogram can be represented by a finite set of wavelets which comprise a decomposition of the electrogram in the scale-time domain. In accordance with the invention, an electrogram can be transformed into a set of wavelets, and thresholding can be performed on the wavelets to eliminate noise while preserving the information of the electrogram. Different thresholds can be used for the wavelets in different scales for improved denoising results. If a respective threshold exceeds a wavelet coefficient, the wavelet coefficient is reduced. Following the thresholding process, the wavelets can be converted into a denoised electrogram, which can be analyzed or processed. In this manner, wavelet transformations can be exploited for effective electrogram denoising.

L'invention porte sur le débruitage d'électrogrammes, ou d'autres signaux médicaux au moyen de transformations en ondelettes. On peut par exemple représenter un électrogramme par un ensemble fini d'ondelettes obtenu par décomposition de l'électrogramme dans un domaine échelle-temps. Selon l'invention après avoir transformé l'électrogramme en un ensemble d'ondelettes on effectue un seuillage sur les ondelettes pour éliminer le bruit tout en conservant l'information. On peut utiliser pour les ondelettes des seuils différents d'échelles différentes pour améliorer les résultats du débruitage. Si l'un des seuils dépasse un coefficient d'ondelette, on réduit ledit coefficient. Après le processus de seuillage, on peut reconvertir les ondelettes en un électrogramme débruité pouvant être analysé ou traité. Cette transformation en ondelettes permet donc d'obtenir un débruitage efficace de l'électrogramme.

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