Tonality detection methods for wheezes recognition system

Author

Wisniewski, Marcin ; Zielinski, Tomasz P.

Author_Institution

AGH Univ. of Sci. & Technol., Krakow, Poland

fYear

2012

fDate

11-13 April 2012

Firstpage

472

Lastpage

475

Abstract

In this paper a comparison of some known and new features used for signal tonality detection in pulmonary wheezes recognition systems is presented. In the article, the Tonal Index is compared to Kurtosis (K), Energy Ratio (ER), two types of correlation feature (CF), Difference to Mean ratio (D2M), Eigen Value Decomposi-tion feature (EVD) and Linear Prediction feature (LP). The analy-sis of efficiency related to complexity of descriptors is presented as well. Experiments have been conducted on artificially generated wheezes-like signals that have been embedded in real pulmonary noise (a hybrid signal) as well as on recorded real wheezes.

Keywords

eigenvalues and eigenfunctions; medical signal detection; medical signal processing; patient monitoring; pneumodynamics; signal denoising; artificially generated wheezes-like signals; correlation feature; difference-to-mean ratio; eigenvalue decomposition feature; energy ratio; kurtosis; linear prediction feature; pulmonary wheezes recognition systems; real pulmonary noise; signal tonality detection; tonal index; tonality detection methods; Correlation; Erbium; Feature extraction; Indexes; Lungs; Noise; Testing; Tonal Index; asthma; asthma monitoring; wheezes;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on

Conference_Location

Vienna

ISSN

2157-8672

Print_ISBN

978-1-4577-2191-5

Type

conf

Filename

6208179