Title :
De-noising of high-resolution ECG signals by combining the discrete wavelet transform with the Wiener filter
Author :
Kestler, Ha ; Haschka, M. ; Kratz, W. ; Schwenker, F. ; Palm, G. ; Hombach, V. ; Höher, M.
Author_Institution :
Ulm Univ., Germany
Abstract :
In this study the authors applied a combination of the discrete wavelet transform and the Wiener filter to the noise-reduction of high-resolution ECG signals. The procedure is optimal in the least squares sense in that it separates a signal from additive noise. It was compared to a popular de-noising algorithm by Donoho (1993) on artificially generated signals and on a high-resolution ECG signal corrupted by noise
Keywords :
Wiener filters; discrete wavelet transforms; electrocardiography; medical signal processing; Donoho´s algorithm; additive noise; artificially generated signals; electrodiagnostics; high-resolution ECG signals denoising; least squares; noise-corrupted signals; optimal procedure; Additive noise; Discrete wavelet transforms; Electrocardiography; Frequency; Least squares methods; Noise reduction; Signal design; Signal generators; Wavelet transforms; Wiener filter;
Conference_Titel :
Computers in Cardiology 1998
Conference_Location :
Cleveland, OH
Print_ISBN :
0-7803-5200-9
DOI :
10.1109/CIC.1998.731776
