Separation of real time heart sound signal from lung sound signal using neural network

Abstract

While recording lung sounds, an incessant noise source takes place owing to heart sounds. This noise source severely contaminates the breath sound signal and interferes in the analysis of lung sounds. This paper presents a technique for separation of heart sound signal (HSS) from lung sound signal (LSS) using neural network (NN) with real time recorded sound signal. Here two signals are used in neural network noise separation scheme. The two signals are raw signal and reference heart signal. The raw signal is given as input signal to neural network and reference heart signal is used as target signal. The proposed system is applied and the results show the error rate of the desired sound signal (DSS), signal to noise ratio (SNR) and execution time.