TITLE:
De-Noising of ECG Signals by Design of an Optimized Wavelet
AUTHORS:
Vahid Makhdoomi Kaviri, Masoud Sabaghi, Saeid Marjani
KEYWORDS:
Wavelets, De-Noising, Genetic Algorithm, ECG Signals
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.11,
September
16,
2016
ABSTRACT: In this paper, a different
method for de-noising of ECG signals using wavelets is presented. In this strategy,
we will try to design the best wavelet for de-nosing. Genetic algorithm tests wide
range of quadrature filter banks and the best of them will be chosen that minimize
the Signal-to-Noise Ratio (SNR). Furthermore, the wavelet function and scaling function
related to these filters are reported as the best wavelet for de-noising. Simulation results for de-noising
of a noisy ECG signal show that using obtained wavelet by proposed method improves
the SNR of about 2.5 dB.