Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646678
