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Sensors 2013, 13(2), 2530-2551; doi:10.3390/s130202530
Article

Heart Sound Biometric System Based on Marginal Spectrum Analysis

1,* , 2
 and 2
Received: 14 November 2012; in revised form: 28 January 2013 / Accepted: 4 February 2013 / Published: 18 February 2013
(This article belongs to the Section Physical Sensors)
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Abstract: This work presents a heart sound biometric system based on marginal spectrum analysis, which is a new feature extraction technique for identification purposes. This heart sound identification system is comprised of signal acquisition, pre-processing, feature extraction, training, and identification. Experiments on the selection of the optimal values for the system parameters are conducted. The results indicate that the new spectrum coefficients result in a significant increase in the recognition rate of 94.40% compared with that of the traditional Fourier spectrum (84.32%) based on a database of 280 heart sounds from 40 participants.
Keywords: heart sound identification system; EEMD; HHT; feature extraction; marginal spectrum heart sound identification system; EEMD; HHT; feature extraction; marginal spectrum
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Zhao, Z.; Shen, Q.; Ren, F. Heart Sound Biometric System Based on Marginal Spectrum Analysis. Sensors 2013, 13, 2530-2551.

AMA Style

Zhao Z, Shen Q, Ren F. Heart Sound Biometric System Based on Marginal Spectrum Analysis. Sensors. 2013; 13(2):2530-2551.

Chicago/Turabian Style

Zhao, Zhidong; Shen, Qinqin; Ren, Fangqin. 2013. "Heart Sound Biometric System Based on Marginal Spectrum Analysis." Sensors 13, no. 2: 2530-2551.


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