A dynamic fuzzy-neural filter for the analysis of lung sounds

Author

Mastorocostas, Paris A. ; Hilas, Constantinos S.

Author_Institution

Dept. of Informatics & Commun., Technological Educ. Inst. of Serres, Greece

Volume

3

fYear

2004

fDate

10-13 Oct. 2004

Firstpage

2231

Abstract

This paper presents a recurrent fuzzy-neural filter for the separation of discontinuous adventitious sounds from vesicular sounds. The filter uses two dynamic neuron-based fuzzy neural networks to perform the task of separation. The networks are generated by the dynamic orthogonal least squares method and are applied to all kinds of lung sounds. Extensive experimental results are given and performance comparison with a series of other models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals.

Keywords

acoustic signal processing; filters; fuzzy neural nets; least squares approximations; lung; medical signal processing; discontinuous adventitious sound separation; dynamic fuzzy-neural filter; dynamic neuron-based fuzzy neural networks; dynamic orthogonal least squares method; lung sound analysis; vesicular sounds; Communications technology; Educational technology; Filters; Fuzzy neural networks; Fuzzy systems; Informatics; Least squares methods; Lungs; Neurons; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2004 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-8566-7

Type

conf

DOI

10.1109/ICSMC.2004.1400660

Filename

1400660