PC-based ECG signal analysis using artificial neural network

被引：1
|
作者：
Chang, Ching-Su [1 ]
Chen, Hsing-Ton [1 ]
Tan, Tan-Hsu [1 ]
Chen, Yung-Fu [2 ]
机构：
[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan
[2] China Med Univ, Dept Hlth Service Adm, Shenyang, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
关键词：
personal computer (PC); electrocardiogram (ECG) signal measurement and monitoring; heart rate variability (HRV); health evaluation; neural network;
D O I：
10.1109/ICMLC.2008.4620981
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study develops a real-time personal computer-based (PC-based) ECG signal measurement and monitoring system to allow PC users to monitor their health status at any time. The system includes a signal processing unit and a health evaluation unit. The signal processing unit consists of a front-end ECG signal amplification circuit, electrocardiogram (ECG) signal acquisition circuit, USB power supply circuit and a control circuit The second unit is a software tool developed on a PC for evaluating user's health based on heart rate variability (HRV) data. A back-propagation neural network is trained by using the features of HRV message to classify ECG signals for further diagnosis via telemedicine. Experimental results indicate that the proposed system has practical potential in health monitoring and evaluation for PC users.
引用
收藏
页码：3334 / +
页数：2
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