Presentation 2008-06-13
Modeling of the ECG wave by using Gaussian functions
Yasuaki MOGI, Kota MURAHIRA, Akira TAGUCHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) A new human identification method based on electrocardiogram (ECG) signal is introduced in this paper. The human heart is considered to be unique system of each person, therefore the ECG signal is also considered to be unique of each person. ECG signal is generally composed of the 3 waves (i.e., P, QRS and T). We consider that each wave is modeled by the Gaussian function. The average of Gaussian function corresponds to the position of peak of the wave. The standard deviation of Gaussian function corresponds to the width of wave. In this method, the one period ECG signal is modeled by the weighted sum of three Gaussian functions. Thus, the ECG signal is represented by only 9 parameters. We show the effectiveness of the proposed method through examples.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Biometric / ECG / Gaussian function
Paper # SIS2008-17
Date of Issue

Conference Information
Committee SIS
Conference Date 2008/6/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Smart Info-Media Systems (SIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling of the ECG wave by using Gaussian functions
Sub Title (in English)
Keyword(1) Biometric
Keyword(2) ECG
Keyword(3) Gaussian function
1st Author's Name Yasuaki MOGI
1st Author's Affiliation Department of Biomedical Engineering, Musashi Institute of Technology()
2nd Author's Name Kota MURAHIRA
2nd Author's Affiliation Department of Biomedical Engineering, Musashi Institute of Technology
3rd Author's Name Akira TAGUCHI
3rd Author's Affiliation Department of Biomedical Engineering, Musashi Institute of Technology
Date 2008-06-13
Paper # SIS2008-17
Volume (vol) vol.108
Number (no) 86
Page pp.pp.-
#Pages 4
Date of Issue