Electrocardiogram (ECG) Signal Modeling and Noise Reduction Using Hopfield Neural Networks

Electrocardiogram (ECG) Signal Modeling and Noise Reduction Using Hopfield Neural Networks

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The Electrocardiogram (ECG) signal is one of the diagnosing approaches to detect heart disease. In this study the Hopfield Neural Network (HNN) is applied and proposed for ECG signal modeling and noise reduction. The Hopfield Neural Network (HNN) is a recurrent neural network that stores the informa...

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Bibliographic Details
Main Authors: F. Bagheri, N. Ghafarnia, F. Bahrami
Format: Article
Language:English
Published: D. G. Pylarinos 2013-02-01
Series:Engineering, Technology & Applied Science Research
Subjects:
Hopfield Neural Networks
ECG signal modeling
noise reduction
Online Access:http://www.etasr.com/index.php/ETASR/article/view/243/156

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http://www.etasr.com/index.php/ETASR/article/view/243/156

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