NDLI: Lung sound extraction from mixed lung and heart sounds FASTICA algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ayari, F. Ksouri, M. Alouani, A.T.
Copyright Year	2012
Description	Author affiliation: Electrical Engineering Department, Tennessee Technological University, Po Box 5004, Cookeville, TN 38 505, USA (Alouani, A.T.) \|\| Electrical Engineering Department, National School of Engineers Tunis (ENIT), B.P.342, Le Belvedere, 1002 Tunis (Ayari, F.; Ksouri, M.)
Abstract	The reduction of interface by heart sounds in lung sounds, in order to improve the analysis of lung sounds has been discussed since the earliest work in 1986 [1] and numerous numbers of papers were developed further. In fact, a large amount of methods was proposed to quantify pure lung sounds, compared with heart sounds interference [2–5]. This paper deals with the performance of lung and heart sound separation based on an objective method, which consist on a mathematical independent component analysis algorithm applied to a preprocessed waveform and spectra of lung sounds recorded with a digital stethoscope. However, such objective evaluation allows to interpret the significance of the noise reduction and to conclusively compare the performance of this particular method with other methods. The quantitative performance measure of those techniques is almost based on the NR ratio or NIR ratio, which is the noise to input ratio, in some references and also the S/N ratio that is the signal to noise ratio. In this investigation we will introduce the bases of the ICA technique used to lung and heart signal separation, we will expose some results of lung and heart signal separation that we have obtained based on the methodology described above. This method was successfully used to separate heart sound and lung sound from recorded mixed sounds. A number of illustrations are exposed here and a heart to lung sound signal ratio H/L is calculated for different cases.
Starting Page	339
Ending Page	342
File Size	630848
Page Count	4
File Format	PDF
ISBN	9781467307826
ISSN	21588473
e-ISBN	9781467307840
DOI	10.1109/MELCON.2012.6196444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lungs Heart Algorithm design and analysis Source separation Noise reduction Stethoscope Equations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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