Neural network approach for T-wave end detection: A comparison of architectures

In this paper, a new approach to the problem of detecting the end of the T wave (Te) on the electrocardiogram (ECG) using Multilayer Perceptron (MLP) neural networks is proposed and evaluated. The approach consists of a neural network acting as a regression function that estimates the Te location us...

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Bibliographische Detailangaben

Hauptverfasser:	Suarez Leon, Alexander A., Matos Molina, Danelia, Vazquez Seisdedos, Carlos R., Goovaerts, Griet, Vandeput, Steven, Van Huffel, Sabine
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Bayes methods Cardiology Computation Detection algorithms Eigenvalues and eigenfunctions Heart Mathematical analysis Neural networks Principal component analysis Reduction Three dimensional Training
Online-Zugang:	Volltext
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