title: [Study of biometric identification of heart sound base on Mel-Frequency cepstrum coefficient].
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.
authors.affiliation: National Key Laboratory of Biomedical Sensor, Zhejiang University, Hangzhou 310027, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.forename: Yihua
authors.initials: Y
authors.lastname: Zhao
authors.forename: Sheng
authors.initials: S
authors.lastname: Lei
authors.forename: Zikai
authors.initials: Z
authors.lastname: Zhao
authors.forename: Min
authors.initials: M
authors.lastname: Pan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006347:Heart Sounds / Q000502:physiology*; D006801:Humans; D007206:Individuality; D046709:Pattern Recognition, Physiological / Q000502:physiology*; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis