Heart sound diagnosis based on DTW and MFCC

Author

Wenjie Fu ; Xinghai Yang ; Yutai Wang

Author_Institution

Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China

Volume

6

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

2920

Lastpage

2923

Abstract

Recently, more and more intelligent algorithms are applied to biomedical, which have improved the biomedical data analysis and classification greatly. In this paper, a new method of automatic identification of heart sound by using DTW (dynamic time warping) and MFCC (Mel-frequency cepstral coefficients) of heart is introduced. MFCC of heart sound are extracted, and then DTW is used to identify heart sound. The experimental results show that the methods have good performance in heart sound recognition.

Keywords

acoustic signal processing; bioacoustics; cardiology; cepstral analysis; medical signal processing; patient diagnosis; signal classification; DTW; MFCC; Mel frequency cepstral coefficients; automatic heart sound identification; biomedical data analysis; biomedical data classification; dynamic time warping; heart sound diagnosis; Artificial neural networks; Classification algorithms; Heart; Hidden Markov models; Mel frequency cepstral coefficient; Signal processing algorithms; Training; DTW; Heart sound; MFCC; Recogniton;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646678

Filename

5646678