Presentation | 2008-06-13 Modeling of the ECG wave by using Gaussian functions Yasuaki MOGI, Kota MURAHIRA, Akira TAGUCHI, |
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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 |
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Committee | SIS |
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Conference Date | 2008/6/6(1days) |
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Registration To | Smart Info-Media Systems (SIS) |
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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 |
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