Title :
Separation of heart sound signal from lung sound signal by adaptive line enhancement
Author :
Tsalaile, Thato ; Sanei, Saeid
Author_Institution :
Centre of Digital Signal Process., Cardiff Univ., Cardiff, UK
Abstract :
This paper presents a technique for separation of heart sound signal (HSS) from lung sound signal (LSS) using adaptive line enhancement (ALE). The ALE is used to extract a semi-periodic signal component (HSS) from a synthetic white Gaussian noise (WGN). Application of ALE to separation of HSS from LSS has also been demonstrated. For when synthetic data (WGN) is combined with the HSS, it is found that ALE can separate the HSS at input signal-to-noise ratio (SNRin) of 27dB. The results for when the ALE is applied to the combined HSS-LSS show that ALE can separate HSS even if the SNRin equals ×5dB.
Keywords :
Gaussian noise; biomedical engineering; cardiology; lung; medical signal processing; source separation; adaptive line enhancement application; heart sound signal separation; lung sound signal; semiperiodic signal component; signal-to-noise ratio; synthetic white Gaussian noise; Heart; Least squares approximations; Line enhancers; Lungs; Signal to noise ratio; Adaptive line enhancer; heart sound; lung sound;
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6