Qualitative and quantitative evaluation of heart sound reduction from lung sound recordings

Author

Gnitecki, January ; Hossain, Irina ; Pasterkamp, Hans ; Moussavi, Zahra

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, Man., Canada

Volume

52

Issue

10

fYear

2005

Firstpage

1788

Lastpage

1792

Abstract

Recursive least squares (RLS) adaptive noise cancellation (ANC) and wavelet transform (WT) ANC have been applied and compared for heart sound (HS) reduction from lung sounds (LS) recordings. Novel processes for quantitative and qualitative evaluation of any method for HS reduction from LS have also been proposed.

Keywords

adaptive filters; electrocardiography; lung; medical signal processing; pneumodynamics; recursive filters; wavelet transforms; adaptive noise cancellation; heart sound reduction; lung sound recordings; recursive least squares; wavelet transform; Anisotropic magnetoresistance; Boundary conditions; Cardiac tissue; Cardiology; Foot; Heart; Lungs; Mathematical model; Myocardium; Slabs; Adaptive noise cancellation; heart sounds; lung sounds; recursive least squares; wavelet denoising; Adolescent; Adult; Algorithms; Auscultation; Child; Diagnosis, Computer-Assisted; Heart Auscultation; Humans; Lung; Male; Reproducibility of Results; Respiratory Function Tests; Respiratory Sounds; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Sound Spectrography;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2005.855706

Filename

1510863