ECG analysis: A new approach in human identification

被引：625

作者：

Biel, L ^{[1
]}

Pettersson, O ^{[1
]}

Philipson, L ^{[1
]}

Wide, P ^{[1
]}

机构：

[1] Univ Orebro, Technol & Sci Dept, Orebro, Sweden

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2001年 / 50卷 / 03期

关键词：

data fusion; electrocardiogram (ECG); feature extraction; human identification; multivariate analysis;

D O I：

10.1109/19.930458

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper a new approach in human identification is investigated, For this purpose, a standard 12-lead electrocardiogram (ECG) recorded during rest is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task. Experiments show that it is possible to identify a person by features extracted from one lead only. Hence, only three electrodes have to be attached on the person to be identified. This makes the method applicable without too much effort.

引用

页码：808 / 812

页数：5

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