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Blind source extraction of heart sound signals from lung sound recordings exploiting periodicity of the heart sound

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages461-464
Number of pages4
ISBN (Print)978-1-4244-1483-3
DOIs
Publication statusPublished - 12 May 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing - Caesars Palace, Las Vegas, NV, United States
Duration: 30 Mar 20084 Apr 2008

Publication series

Name
PublisherIEEE
ISSN (Print)1520-6149
ISSN (Electronic)2379-190X

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing
CountryUnited States
CityLas Vegas, NV
Period30/03/084/04/08

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.

Event

2008 IEEE International Conference on Acoustics, Speech and Signal Processing

30/03/084/04/08

Las Vegas, NV, United States

Event: Conference

ID: 164841425