Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter

Leontios J. Hadjileontiadis; Stavros M. Panas

doi:10.3233/978-1-60750-887-8-536

Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter

Leontios J. Hadjileontiadis, Stavros M. Panas

Biomedical Engineering & Biotechnology

Aristotle University of Thessaloniki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

A new adaptive method for heart sounds reduction from lung sounds, based on wavelet transform, is presented in this paper. The use of a wavelet transform domain filtering technique as an adaptive de-noising tool, implemented in lung sounds analysis, is introduced. The multiresolution representations of the signal, produced by wavelet transform, are used for signal structure extraction. Experimental results have shown that implementation of this wavelet-based filter in lung sound analysis results in an efficient reduction of heart sounds from lung sounds, producing an almost noise-free output signal.

Original language	British English
Title of host publication	Medical Informatics Europe 1997, MIE 1997
Pages	536-540
Number of pages	5
DOIs	https://doi.org/10.3233/978-1-60750-887-8-536
State	Published - 1997
Event	14th Conference on Medical Informatics Europe 1997, MIE 1997 - Thessaloniki, Greece Duration: 25 May 1997 → 29 May 1997

Publication series

Name	Studies in Health Technology and Informatics
Volume	43
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	14th Conference on Medical Informatics Europe 1997, MIE 1997
Country/Territory	Greece
City	Thessaloniki
Period	25/05/97 → 29/05/97

Access to Document

10.3233/978-1-60750-887-8-536

Cite this

@inproceedings{1697d5b97fec4f4a914f91e730a899e4,

title = "Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter",

abstract = "A new adaptive method for heart sounds reduction from lung sounds, based on wavelet transform, is presented in this paper. The use of a wavelet transform domain filtering technique as an adaptive de-noising tool, implemented in lung sounds analysis, is introduced. The multiresolution representations of the signal, produced by wavelet transform, are used for signal structure extraction. Experimental results have shown that implementation of this wavelet-based filter in lung sound analysis results in an efficient reduction of heart sounds from lung sounds, producing an almost noise-free output signal.",

author = "Hadjileontiadis, {Leontios J.} and Panas, {Stavros M.}",

year = "1997",

doi = "10.3233/978-1-60750-887-8-536",

language = "British English",

isbn = "9051993439",

series = "Studies in Health Technology and Informatics",

pages = "536--540",

booktitle = "Medical Informatics Europe 1997, MIE 1997",

note = "14th Conference on Medical Informatics Europe 1997, MIE 1997 ; Conference date: 25-05-1997 Through 29-05-1997",

}

Hadjileontiadis, LJ & Panas, SM 1997, Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter. in Medical Informatics Europe 1997, MIE 1997. Studies in Health Technology and Informatics, vol. 43, pp. 536-540, 14th Conference on Medical Informatics Europe 1997, MIE 1997, Thessaloniki, Greece, 25/05/97. https://doi.org/10.3233/978-1-60750-887-8-536

TY - GEN

T1 - Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter

AU - Hadjileontiadis, Leontios J.

AU - Panas, Stavros M.

PY - 1997

Y1 - 1997

N2 - A new adaptive method for heart sounds reduction from lung sounds, based on wavelet transform, is presented in this paper. The use of a wavelet transform domain filtering technique as an adaptive de-noising tool, implemented in lung sounds analysis, is introduced. The multiresolution representations of the signal, produced by wavelet transform, are used for signal structure extraction. Experimental results have shown that implementation of this wavelet-based filter in lung sound analysis results in an efficient reduction of heart sounds from lung sounds, producing an almost noise-free output signal.

AB - A new adaptive method for heart sounds reduction from lung sounds, based on wavelet transform, is presented in this paper. The use of a wavelet transform domain filtering technique as an adaptive de-noising tool, implemented in lung sounds analysis, is introduced. The multiresolution representations of the signal, produced by wavelet transform, are used for signal structure extraction. Experimental results have shown that implementation of this wavelet-based filter in lung sound analysis results in an efficient reduction of heart sounds from lung sounds, producing an almost noise-free output signal.

UR - http://www.scopus.com/inward/record.url?scp=0031312003&partnerID=8YFLogxK

U2 - 10.3233/978-1-60750-887-8-536

DO - 10.3233/978-1-60750-887-8-536

M3 - Conference contribution

C2 - 1998125817

AN - SCOPUS:0031312003

SN - 9051993439

SN - 9789051993431

T3 - Studies in Health Technology and Informatics

SP - 536

EP - 540

BT - Medical Informatics Europe 1997, MIE 1997

T2 - 14th Conference on Medical Informatics Europe 1997, MIE 1997

Y2 - 25 May 1997 through 29 May 1997

ER -

Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this