会议论文详细信息
7th International Scientific Practical Conference "Innovative Technologies in Engineering" | |
Application of Artificial Neural Networks in the Heart Electrical Axis Position Conclusion Modeling | |
Bakanovskaya, L.N.^1 | |
Tyumen State Oil and Gas University, 38 Volodarskogo st., Tyumen | |
625000, Russia^1 | |
关键词: Electrical axis; Error propagation methods; High degree of accuracy; Output signal; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/142/1/012100/pdf DOI : 10.1088/1757-899X/142/1/012100 |
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来源: IOP | |
【 摘 要 】
The article touches upon building of a heart electrical axis position conclusion model using an artificial neural network. The input signals of the neural network are the values of deflections Q, R and S; and the output signal is the value of the heart electrical axis position. Training of the network is carried out by the error propagation method. The test results allow concluding that the created neural network makes a conclusion with a high degree of accuracy.
【 预 览 】
Files | Size | Format | View |
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Application of Artificial Neural Networks in the Heart Electrical Axis Position Conclusion Modeling | 1080KB | download |