Abstract: Method for processing cardioelectric signals and corresponding device. The method enables processing previously sampled cardioelectric signals so as to filter the T wave, thereby improving the visualization of the P wave. The method comprises the following stages: [a] dyadic decomposition the signal into bands by calculating its wavelet transform up to a range of frequencies comprised in a first range of 15 to 150 Hz and preferably 20 to 100 Hz, [b] selection of significant bands with P wave [c] processing of the significant bands by modifying the wavelet coefficients using statistical parametric models, and preferably statistical parametric noise suppression models, [d] weighting the non-significant bands by multiplying them by a weighting function, and [e] reconstructing the signal The invention also relates to a device for carrying out this method.

Abstract: Method for processing cardioelectric signals and corresponding device. The method enables processing previously sampled cardioelectric signals so as to filter the T wave, thereby improving the visualization of the P wave. The method comprises the following stages: [a] dyadic decomposition the signal into bands by calculating its wavelet transform up to a range of frequencies comprised in a first range of 15 to 150 Hz and preferably 20 to 100 Hz, [b] selection of significant bands with P wave [c] processing of the significant bands by modifying the wavelet coefficients using statistical parametric models, and preferably statistical parametric noise suppression models, [d] weighting the non-significant bands by multiplying them by a weighting function, and [e] reconstructing the signal The invention also relates to a device for carrying out this method.