Study of biometric identification of heart sound base on Mel-Frequency cepstrum coefficient.
- Author:
Wei CHEN
1
;
Yihua ZHAO
;
Sheng LEI
;
Zikai ZHAO
;
Min PAN
Author Information
1. National Key Laboratory of Biomedical Sensor, Zhejiang University, Hangzhou 310027, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artificial Intelligence;
Heart Sounds;
physiology;
Humans;
Individuality;
Pattern Recognition, Physiological;
physiology;
Principal Component Analysis;
Signal Processing, Computer-Assisted;
Wavelet Analysis
- From:
Journal of Biomedical Engineering
2012;29(6):1015-1020
- CountryChina
- Language:Chinese
-
Abstract:
Heart sound is a physiological parameter with individual characteristics generated by heart beat. To do the individual classification and recognition, in this paper, we present our study of using wavelet transform in the signal denoising, with the Mel-Frequency cepstrum coefficients (MFCC) as the feature parameters, and propose a research of reducing the dimensionality through principal components analysis (PCA). We have done the preliminary study to test the feasibility of biometric identification method using heart sound. The results showed that under the selected experimental conditions, the system could reach a 90% recognition rate. This study can provide a reference for further research.
