H. Inoue et A. Miyazaki, A NOISE-REDUCTION METHOD FOR ECG SIGNALS USING THE DYADIC WAVELET TRANSFORM, IEICE transactions on fundamentals of electronics, communications and computer science, E81A(6), 1998, pp. 1001-1007
Citations number
9
Categorie Soggetti
Engineering, Eletrical & Electronic","Computer Science Hardware & Architecture","Computer Science Information Systems
In this paper, we propose a new denoising algorithm based on the dyadi
c wavelet transform (DWT) for ECG signals corrupted with different typ
es of synthesized noise. Using the property that DWT is overcomplete,
we define some convex sets in the set of wavelet coefficients and give
an iterative method of the projection on the convex sets. The results
show that the noises are not only removed from ECG signals, but also
the ECG signals are reconstructed, which is used in detecting QRS comp
lex. The performance of the proposed algorithm is demonstrated by some
experiments in comparison with the conventional methods.