Study of biometric identification of heart sound base on Mel-Frequency cepstrum coefficient / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 1015-1020, 2012.
Article
in Chinese
| WPRIM
| ID: wpr-246514
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Physiology
/
Algorithms
/
Signal Processing, Computer-Assisted
/
Artificial Intelligence
/
Heart Sounds
/
Principal Component Analysis
/
Pattern Recognition, Physiological
/
Wavelet Analysis
/
Individuality
Type of study:
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2012
Type:
Article
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