Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5543

Title: Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound
Authors: Tsalaile, Thato
Naqvi, Syed M.
Nazarpour, K.
Sanei, Saeid
Chambers, Jonathon
Keywords: Blind source extraction
Second order statistics
Periodicity
Nonstationarity
Heart sound signal and lung sound recordings
Issue Date: 2008
Publisher: © IEEE
Citation: TSALAILE, T. ... et al, 2008. Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound. IN: Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing 2008. ICASSP 2008, Las Vegas, Nevada, 31 March-4 April 2008, pp. 461-464.
Abstract: A novel approach for separating heart sound signals (HSSs) from lung sound recordings is presented. The approach is based on blind source extraction (BSE) with second-order statistics (SOS), which exploits the quasi-periodicity of the HSSs. The method is evaluated on both synthetic periodic signals of known period mixed with temporally white Gaussian noise (WGN) as well as on real quasi periodic HSSs mixed with lung sound signals (LSSs). Qualitative evaluation involving comparison of the power spectral densities (PSDs) of the extracted signals, by the proposed method and by the JADE algorithm, and that of the original signal is performed for the case of real data. Separation results confirm the utility of the proposed approach, although departure from strict periodicity may impact performance.
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ICASSP.2008.4517646
URI: https://dspace.lboro.ac.uk/2134/5543
ISBN: 9781424414833
ISSN: 1520-6149
Appears in Collections:Conference Papers and Contributions (Electronic, Electrical and Systems Engineering)

Files associated with this item:

File Description SizeFormat
Chambers 6.pdf175.17 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.