Journal
SENSORS
Volume 13, Issue 2, Pages 2530-2551Publisher
MDPI AG
DOI: 10.3390/s130202530
Keywords
heart sound identification system; EEMD; HHT; feature extraction; marginal spectrum
Funding
- National Natural Science Foundation of China [61102133]
- Key Project of science technology department of Zhejiang province [2010C11065]
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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.
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