Second generation wavelets: Advantages in cardiosignal processing

Author

Gavrovska, Ana ; Zajic, Goran ; Reljin, Irini ; Bogdanovic, Vesna ; Reljin, Branimir

Author_Institution

Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia

Volume

01

fYear

2013

fDate

16-19 Oct. 2013

Firstpage

333

Lastpage

336

Abstract

In this paper, the cardiosignal analysis using second generation wavelets and lifting structure based on clinically-relevant extracted information is described. The information extraction can be performed by different spectral (such as multifractal) and spectrogram (time-frequency) representations. Here, the novelties are related mainly to the knowledge-controlled analysis and noise reduction in phonocardiograms. We suggest adaptive (signal-dependent) wavelet-based processing able to simultaneously preserve relevant high-frequency details and reduce noise.

Keywords

feature extraction; fractals; matrix decomposition; medical signal processing; phonocardiography; signal denoising; signal reconstruction; signal representation; wavelet transforms; adaptive wavelet-based processing; cardiosignal analysis; clinically-relevant extracted information; knowledge-controlled analysis; lifting structure; multifractal representations; noise reduction; phonocardiograms; second generation wavelets; signal-dependent wavelet-based processing; spectral representations; spectrogram representations; time-frequency representations; Discrete wavelet transforms; Filter banks; Finite impulse response filters; Hafnium; Heart; Noise reduction; Phonocardiography; Phonocardiogram; lifting; multifractals; signal decomposition; signal representation; wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), 2013 11th International Conference on

Conference_Location

Nis

Print_ISBN

978-1-4799-0899-8

Type

conf

DOI

10.1109/TELSKS.2013.6704942

Filename

6704942