title: Heart sound biometric system based on marginal spectrum analysis.
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.
authors: College of Electronics and Information, HangZhou DianZi University, Hangzhou 310018, China. zhaozd@hdu.edu.cn
authors: Zhidong
authors: Z
authors: Zhao
authors: Qinqin
authors: Q
authors: Shen
authors: Fangqin
authors: F
authors: Ren
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D003198:Computer Simulation; D019992:Databases as Topic; D005583:Fourier Analysis; D006347:Heart Sounds / Q000502:physiology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D013057:Spectrum Analysis / Q000379:methods*