DocumentCode :
3755784
Title :
A parametric model for heart sounds
Author :
Roilhi F. Ibarra;Miguel A. Alonso;Salvador Villarreal;Carlos I. Nieblas
Author_Institution :
Dept. of Electronics and Telecommunications, Centro de Investigaci?n Cient?fica y de Educaci?n Superior de Ensenada (CICESE) Carretera Ensenada-Tijuana No. 3918, CP 22860, Ensenada, B.C., Mexico
fYear :
2015
Firstpage :
765
Lastpage :
769
Abstract :
This paper presents a novel way to represent heart sound signals by using a harmonic plus noise model (HNM). A set of time-frequency waveforms are selected by the Matching Pursuit algorithm to form the harmonic part. The noise part is obtained after subtracting the harmonic part to the original signal and is modeled as an autorregresive process using linear predictive coding. The sum of both the harmonic and noise part models provides a highly accurate representation of the original heart sounds. The proposed model has many potential applications such as parametric low-bit rate coder, cardiac monitoring and heart disease identification.
Keywords :
"Heart","Phonocardiography","Matching pursuit algorithms","Harmonic analysis","Computational modeling","Dictionaries","Signal processing algorithms"
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2015 49th Asilomar Conference on
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2015.7421237
Filename :
7421237
Link To Document :
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