A New ECG Identification with Neural Network

被引：0

作者：

Chen, He ^{[2
]}

Tseng, Kuo-Kun ^{[2
]}

Zeng, Fufu ^{[2
]}

Huang, Huang-Nan ^{[1
]}

Tu, Shu-Yi ^{[3
]}

机构：

[1] Tunghai Univ, Dept Math, Taichung 40704, Taiwan

[2] Harbin Inst Technol, Shenzhen Grad Sch, Dept Comp Sci & Technol, Harbin, Peoples R China

[3] Univ Michigan, Dept Math, Flint, MI 48502 USA

来源：

2012 12TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS) | 2012年

关键词：

ECG; human identification; Neural Network; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Electrocardiogram (ECG) as biological information, it has some special feature. Different people will have different ECG information; even one person has different ECG when he is under different body state. In this paper we use the ECG to identify disease or to detect different person. Firstly, we collect the ECG information from different body state of the different people. Secondly we will preprocess the ECG data by using a method of statistical. Thirdly we can use the neural network algorithm to train the data, and then classify different people's data into a different class. Finally when there are one new ECG data, we can also use neural network to identify the new data. Even one people have several ECG signal, with our approach, the ECG identification is feasible.

引用

页码：427 / 430

页数：4

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