Heart diseases diagnosis using HMM

Author

El-Hanjouri, M. ; Alkhaldi, W. ; Hamdy, N. ; Alim, O. Abdel

Author_Institution

Arab Acad. for Sci. & Technol., Alexandria, Egypt

fYear

2002

fDate

2002

Firstpage

489

Lastpage

492

Abstract

The bare ear and the stethoscope were until recently of great help in classifying most heart diseases especially those related to valve problems. The newly developed electronic stethoscope and phonocardiography represent useful tools for recording heart sound signals. In this paper a diagnostic technique for heart diseases using heart sounds is suggested. Wavelet decomposition and mel cepstrum are used for feature extraction. Classification of the different heart diseases is then done using hidden Markov models (HMM). Three different techniques have been used and compared. The obtained recognition rates (RR) were 97.3%, 98.2%, and 99.1%.

Keywords

cardiology; cepstral analysis; diseases; feature extraction; hidden Markov models; medical diagnostic computing; medical signal processing; pattern classification; wavelet transforms; HMM; classification; diagnostic technique; electronic stethoscope; feature extraction; heart diseases; heart sound signals; hidden Markov models; mel cepstrum; phonocardiography; recognition rates; valve problems; wavelet decomposition; Cardiac disease; Cardiovascular diseases; Ear; Electronic mail; Feature extraction; Frequency; Heart; Hidden Markov models; Stethoscope; Valves;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2002. MELECON 2002. 11th Mediterranean

Print_ISBN

0-7803-7527-0

Type

conf

DOI

10.1109/MELECON.2002.1014641

Filename

1014641