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Heart diseases are the number one cause of death all over the world. Many deaths are caused due to late detection of heart diseases. During the process of heart sound recording, beside heart sound, environment noise is being recorded too. In this work signal denoising was performed using wavelet denoising method. Furthermore, parameter values are compared to find the best combination. Signal to noise ratio (SNR), mean square error (MSE), root mean square error (RMSE) and peak signal to noise ratio (PSNR) were calculated to evaluate results. The highest mean value of the signal-to-noise ratio was 85.38 and it is obtained by Daubechies wavelet method with order 16, ‘sqwtolog’ threshold selection rule and threshold rescaling ‘one’. Wavelet denoising is appropriate method for phonocardiogram analysis and could be useful in heart disease detection.