Heart Sounds Separation From Lung Sounds Using Independent Component Analysis
- 1 January 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Vol. 2005 (1094687X), 2736-2739
- https://doi.org/10.1109/iembs.2005.1617037
Abstract
Heart beat is an unavoidable source of interference during lung sound recording. This disturbance is more significant at low and medium breathing flow rates. Removing heart sounds (HS) from lung sound recordings or vice versa is a challenging task but of great interest for respiratory specialists and cardiologists. In this study, to separate the two signals, a novel HS separation method based on independent component analysis (ICA) is developed. This method applies an ICA algorithm to the spectrograms of two simultaneous lung sound recordings obtained at two different locations on the chest and yields the independent spectrograms of the separated signals. Then, by implementing the inverse short time Fourier transform (ISTFT), the separated signals are reconstructed in the time domain. The method was applied to data of two healthy subjects. Analysis of the results as well as subjective inspections indicate the efficiency of the proposed method in terms of HS separation from lung soundsKeywords
This publication has 11 references indexed in Scilit:
- Reduction of heart sounds from lung sound recordings by automated gain control and adaptive filtering techniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An overview of heart-noise reduction of lung sound using wavelet transform based filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Recursive least squares adaptive noise cancellation filtering for heart sound reduction in lung sounds recordingsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Heart sound cancellation from lung sound recordings using adaptive threshold and 2D interpolation in time-frequency domainPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Adaptive Blind Signal and Image ProcessingPublished by Wiley ,2002
- An approach to blind source separation based on temporal structure of speech signalsNeurocomputing, 2001
- Independent Component AnalysisPublished by Wiley ,2001
- High-Order Contrasts for Independent Component AnalysisNeural Computation, 1999
- A wavelet-based reduction of heart sound noise from lung soundsInternational Journal of Medical Informatics, 1998
- Reduced order Kalman filtering for the enhancement of respiratory soundsIEEE Transactions on Biomedical Engineering, 1996