Denoising ECG signals by applying discrete wavelet transform

This work introduces an ECG signal denoising method using discrete wavelet transforms. In the first part of the study, classical denoising methods were revised, tested and analyzed. To minimize signal distortion and resource usage the wavelet decomposition and thresholding was proposed. In the second part of the study, the methods mentioned above were used to remove the baseline wondering and high-frequency noise components of the acquired ECG signal. Simulations are presented in Matlab based on professional pre-recorded raw EKG signals. Experimental results, using a self-developed ZYNQ SoC based data acquisition system, are also shown to illustrate the applicability of the proposed signal processing methods.