Heart Sound Biometric System Based on Marginal Spectrum Analysis

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....

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Zhidong, Shen, Qinqin, Ren, Fangqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649396/
https://www.ncbi.nlm.nih.gov/pubmed/23429515
http://dx.doi.org/10.3390/s130202530
_version_ 1782268962353971200
author Zhao, Zhidong
Shen, Qinqin
Ren, Fangqin
author_facet Zhao, Zhidong
Shen, Qinqin
Ren, Fangqin
author_sort Zhao, Zhidong
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3649396
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-36493962013-06-04 Heart Sound Biometric System Based on Marginal Spectrum Analysis Zhao, Zhidong Shen, Qinqin Ren, Fangqin Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2013-02-18 /pmc/articles/PMC3649396/ /pubmed/23429515 http://dx.doi.org/10.3390/s130202530 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Zhao, Zhidong
Shen, Qinqin
Ren, Fangqin
Heart Sound Biometric System Based on Marginal Spectrum Analysis
title Heart Sound Biometric System Based on Marginal Spectrum Analysis
title_full Heart Sound Biometric System Based on Marginal Spectrum Analysis
title_fullStr Heart Sound Biometric System Based on Marginal Spectrum Analysis
title_full_unstemmed Heart Sound Biometric System Based on Marginal Spectrum Analysis
title_short Heart Sound Biometric System Based on Marginal Spectrum Analysis
title_sort heart sound biometric system based on marginal spectrum analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3649396/
https://www.ncbi.nlm.nih.gov/pubmed/23429515
http://dx.doi.org/10.3390/s130202530
work_keys_str_mv AT zhaozhidong heartsoundbiometricsystembasedonmarginalspectrumanalysis
AT shenqinqin heartsoundbiometricsystembasedonmarginalspectrumanalysis
AT renfangqin heartsoundbiometricsystembasedonmarginalspectrumanalysis

Ejemplares similares