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

Heart Sound Biometric System Based on Marginal Spectrum Analysis

1
College of Electronics and Information, HangZhou DianZi University, Hangzhou 310018, China
2
College of Communication Engineering, HangZhou DianZi University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Received: 14 November 2012 / Revised: 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
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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

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