Analysis of Phonocardiogram signal for biometric identification system

Author

Bindu Bhargav Kumar, S. ; Jagannath, M.

Author_Institution

Sch. of Electron. Eng., VIT Univ., Chennai, India

fYear

2015

fDate

8-10 Jan. 2015

Firstpage

1

Lastpage

4

Abstract

In the paper, analysis of Phonocardiogram (PCG) signal for biometric identification system is proposed. The PCG signal can be used for identification of a person. The PCG signal is preprocessed to remove the noise and then the S₁ and S₂ sounds, which are important features of PCG signal, extracted from it. Shannon entropy method is used for envelope extraction. These features are stored in a database as a template. Features from the different PCG signals are used to make different templates. The recorded PCG signal of the same person is converted into a template and then used as an alternative approach for biometric identification.

Keywords

feature extraction; fingerprint identification; information theory; medical signal processing; phonocardiography; signal denoising; PCG signal extraction; PCG signal recording; Shannon entropy method; biometric identification system; phonocardiogram signal analysis; Databases; Entropy; Feature extraction; Heart; Noise; Noise reduction; Phonocardiography; Biometric; Identification; Phonocardiogram; Recognition; Verification;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing (ICPC), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/PERVASIVE.2015.7086994

Filename

7086994