On the construction of an electronic stethoscope with real-time heart sound de-noising feature

In this paper, we investigate the aspects of constructing an electronic stethoscope with the capability to filter out heart sound from the lung sound pickups in real time. Such a capability is most useful for the clinical diagnosis of pulmonary diseases. The proposed filter design is based on the adaptive line enhancer (ALE) filter structure to be implemented in an FPGA based platform. The DE2-70 development board and Audio CODEC are used in the design. Experiments on a preliminary setup of the proposed design demonstrate its efficacy.

[1]  Zahra Moussavi,et al.  Fundamentals of Respiratory Sounds and Analysis , 2006, Fundamentals of Respiratory Sounds and Analysis.

[3]  Saeid Sanei,et al.  Separation of heart sound signal from lung sound signal by adaptive line enhancement , 2007, 2007 15th European Signal Processing Conference.

[4]  José Carlos Príncipe,et al.  Feasibility of fixed-point transversal adaptive filters in FPGA devices with embedded DSP blocks , 2003, The 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications, 2003. Proceedings..

[5]  Yi Luo.  Portable Bluetooth Visual Electrical Stethoscope research , 2008, 2008 11th IEEE International Conference on Communication Technology.

[6]  Ying-Wen Bai,et al.  The embedded digital stethoscope uses the adaptive noise cancellation filter and the type I Chebyshev IIR bandpass filter to reduce the noise of the heart sound , 2005, Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..

[7]  Shawki Areibi,et al.  An FPGA Implementation of the LMS Adaptive Filter for Audio Processing , 2006, 2006 IEEE International Conference on Reconfigurable Computing and FPGA's (ReConFig 2006).

[8]  Jen-Chien Chien,et al.  A Study of Heart Sound and Lung Sound Separation by Independent Component Analysis Technique , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  Martin Kompis,et al.  Adaptive heart-noise reduction of lung sounds recorded by a single microphone , 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Leontios J. Hadjileontiadis,et al.  Lung Sounds: An Advanced Signal Processing Perspective , 2008, Lung Sounds.

[11]  Fei Yu,et al.  The Development of an Intelligent Electronic Stethoscope , 2008, 2008 IEEE/ASME International Conference on Mechtronic and Embedded Systems and Applications.

[12]  N. Jatupaiboon,et al.  Electronic stethoscope prototype with adaptive noise cancellation , 2010, 2010 Eighth International Conference on ICT and Knowledge Engineering.

[13]  Zahra Moussavi,et al.  Fundamentals of Respiratory System and Sounds Analysis , 2006 .

[14]  Z. Moussavi,et al.  Heart sound cancellation from lung sound recordings using time-frequency filtering , 2006, Medical and Biological Engineering and Computing.

[15]  Zahra Moussavi,et al.  An overview of heart-noise reduction of lung sound using wavelet transform based filter , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[16]  P. A. Ramamoorthy,et al.  Reduction of Heart Sounds from Lung Sounds by Adaptive Filterng , 1986, IEEE Transactions on Biomedical Engineering.

[17]  B. Tai,et al.  Multifunction stethoscope for telemedicine , 2004, 2004 2nd IEEE/EMBS International Summer School on Medical Devices and Biosensors.

[18]  Soo-Young Lee,et al.  FPGA implementation of ICA algorithm for blind signal separation and adaptive noise canceling , 2003, IEEE Trans. Neural Networks.

[19]  Stavros M. Panas,et al.  A wavelet-based reduction of heart sound noise from lung sounds , 1998, Int. J. Medical Informatics.

[20]  L.J. Hadjileontiadis,et al.  Adaptive reduction of heart sounds from lung sounds using fourth-order statistics , 1997, IEEE Transactions on Biomedical Engineering.

[21]  Y. T. Zhang,et al.  Reduction of heart sounds from lung sound recordings by automated gain control and adaptive filtering techniques , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.