Heart sounds quality analysis for automatic cardiac biometry applications

Author

Beritelli, Francesco ; Spadaccini, Andrea

Author_Institution

Dipt. di Ing. Inf. e delle Telecomun., Univ. of Catania, Catania, Italy

fYear

2009

fDate

6-9 Dec. 2009

Firstpage

61

Lastpage

65

Abstract

In this paper we propose a cardiac biometric system for human identity verification based on an automatic selection algorithm of the best subsequence of a DHS (digital heart sound) signal. The quality score is based on the cepstral distance between homogeneous cardiac sounds. Performance of the algorithm proposed, expressed in terms of equal error rate, is similar to a DHS manual segmentation-based system, but offers the advantages of a fully automatic biometric application.

Keywords

biometrics (access control); cardiology; medical signal processing; DHS manual segmentation based system; automatic cardiac biometry applications; cepstral distance; digital heart sound signal analysis; equal error rate; heart sounds quality analysis; human identity verification; Automatic testing; Biometrics; Cepstral analysis; Databases; Heart; Humans; Low pass filters; Signal analysis; Stethoscope; Valves; MFCC; biometry; digital heart sound analysis; human identity recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Forensics and Security, 2009. WIFS 2009. First IEEE International Workshop on

Conference_Location

London

Print_ISBN

978-1-4244-5279-8

Electronic_ISBN

978-1-4244-5280-4

Type

conf

DOI

10.1109/WIFS.2009.5386481

Filename

5386481