Author(s)

Vahid Makhdoomi Kaviri¹, Masoud Sabaghi^2*, Saeid Marjani³

¹Department of Electrical Engineering, Islamshar Branch, Islamic Azad University, Tehran, Iran.
²Laser and Optics Research School, Nuclear Science and Technology Research School, Atomic Energy Organization of Iran, Tehran, Iran.
³Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

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.

Wavelets, De-Noising, Genetic Algorithm, ECG Signals

Kaviri, V. , Sabaghi, M. and Marjani, S. (2016) De-Noising of ECG Signals by Design of an Optimized Wavelet. Circuits and Systems, 7, 3746-3755. doi: 10.4236/cs.2016.711314.