文章基本信息

标题：REAL TIME HEART AND LUNG SOUND SEPARATION USING ADAPTIVE LINE ENHANCER WITH NLMS
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作者：K.SATHESH ; Dr.N.J.R.MUNIRAJ
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：65
期号：2
出版社：Journal of Theoretical and Applied
摘要：The heart sound signal (HSS) separated from the recorded real time raw sound signal (RSS) in a human being. The signal is taken from the different age groups for both male and female. In a real time sound signal separation techniques the desired sound signals are difficult to achieve, now we have separated real time raw lung sound signal into the real heart sound signal. To the proposed technique we have introduced adaptive line enhancer (ALE) with normalized least mean square (NLMS) algorithm which is used to obtain the desired sound signal from real time sound signal and the linear predictive FIR filter are used to detect the other sound signals and the interferences. We have introduced the new adaptive filter algorithm such as the normalized least mean square algorithm to obtain the desired real heart sound signal because the NLMS is one of the factor � is not constant and also the weights are updated for each iteration. So we get the expected the real heart signal without interferences in a real time recorded sound signal. The proposed system is implemented and in the results we have considered some parameters to find the error rate of the desired sound signal (DSS), signal to noise ratio (SNR) and computational time are verified using Matlab 2010.
关键词：Heart sound signal (HSS); Lung sound signal (LSS); Adaptive line enhancer (ALE); Normalized Least mean square (NLMS); Finite impulse response filter (FIR).