The “music” within thoracic cavity using wavelet filtering

Author

Pomprapa, Anake ; Schwaiberger, David ; Lachmann, Burkhard ; Leonhardt, Steffen

Author_Institution

Helmholtz-Inst. for Biomed. Eng., RWTH Aachen Univ., Aachen, Germany

fYear

2012

fDate

5-7 Jan. 2012

Firstpage

860

Lastpage

863

Abstract

With the aid of computerized auscultation system, the sound within thoracic cavity can be acquired by an electronic commercial stethoscope and its energy density can be thoroughly analyzed based on a spectral-temporal domain. In this article, we use a Wavelet filter for de-noising the measured signal with underlying Gaussian noises before spectrogram analysis. Heart and lung sounds are of great interest for the evaluation in an aesthetic approach associated with piano notes.

Keywords

Gaussian noise; cardiology; filtering theory; lung; medical signal processing; music; signal denoising; spectral analysis; wavelet transforms; Gaussian noise; aesthetic approach; computerized auscultation system; electronic commercial stethoscope; energy density; heart sound; lung sound; measured signal denoising; music; piano notes; spectral-temporal domain; spectrogram analysis; thoracic cavity; wavelet filtering; Diseases; Lungs; Noise measurement; Spectrogram; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4577-2176-2

Electronic_ISBN

978-1-4577-2175-5

Type

conf

DOI

10.1109/BHI.2012.6211723

Filename

6211723