Title :
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
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;
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
DOI :
10.1109/BHI.2012.6211723
