Volume 2 Number 2 (Mar. 2012)
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IJBBB 2012 Vol.2(2): 122-125 ISSN: 2010-3638
DOI: 10.7763/IJBBB.2012.V2.84

Aortic Insufficiency Diagnosis tic through STFT & Wavelet Algorithm and Their Comparison through Fuzzy Logic and Neural Network

Mohammad Reza Karimi Rad and Farahnaz Nouri

Abstract—Phonocardiogram is one of the most unstable signals; therefore phonocardiogram is included of frequency and timing information. Within present study we obtained vast features through STFT and Wavelet algorithm. Our main focus is on signals analysis which shows Aortic Insufficiency diagnosis, then utilized fuzzy logic and neural network to compare two methods.

Index Terms—STFT, wavelet algorithm, fuzzy logic, neural network.

 

Cite: Mohammad Reza Karimi Rad and Farahnaz Nouri, "Aortic Insufficiency Diagnosis tic through STFT & Wavelet Algorithm and Their Comparison through Fuzzy Logic and Neural Network," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 2, no. 2, pp. 122-125, 2012.

General Information

ISSN: 2010-3638
Frequency: Bimonthly (2011-2015); Quarterly (Since 2016)
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing: Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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