Neural Network Analysis of Electrocardiogram Signal

被引：0
|
作者：
Alimbayeva, Zhadyra N. [1 ]
Ozhikenov, Kassymbek A. [1 ]
Ozhikenova, Ayman K. [1 ]
Bodin, Oleg N. [2 ]
Gerasimov, Andrey, I [2 ]
Mukazhanov, Yerkat B. [3 ]
机构：
[1] Satbayev Univ, Alma Ata, Kazakhstan
[2] Penza State Univ, Penza, Russia
[3] Zhetysu State Univ, Taldykorgan, Kazakhstan
来源：
2019 20TH INTERNATIONAL CONFERENCE OF YOUNG SPECIALISTS ON MICRO/NANOTECHNOLOGIES AND ELECTRON DEVICES (EDM 2019) | 2019年
关键词：
Non-invasive cardiodiagnosis; electrocardiogram (ECG) signal; neural network; neural network training; neural network analysis;
D O I：
暂无
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：
Improving the efficiency of diagnosis of cardiovascular diseases is one of the main tasks of modern health care system. The article considers the possibility of improving the efficiency of diagnosis of cardiovascular diseases through research and justification of the analysis of electrocardiogram (ECG) signals using neural network approach. It is shown that the consideration of direct and reciprocal signs of myocardial infarction lets determine the localization, depth and stage of myocardial infarction. It is established that the choice of neural network architecture and the neural network training algorithm determine the effectiveness of neural network analysis of electrocardiogram (ECG) signals.
引用
收藏
页码：606 / 611
页数：6
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