Identification of Premature Ventricular Contraction (PVC) Caused by Disturbances in Calcium and Potassium Ion Concentrations Using Artificial Neural Networks

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ISSN Print: 1949-4998
ISSN Online: 1949-5005
www.scirp.org/journal/health
E-mail: health@scirp.org

"Identification of Premature Ventricular Contraction (PVC) Caused by Disturbances in Calcium and Potassium Ion Concentrations Using Artificial Neural Networks"
written by Júlio César Dillinger Conway, Caroline Araújo Raposo, Sergio Diaz Contreras, Jadson Cláudio Belchior,
published by Health, Vol.6 No.11, 2014

has been cited by the following article(s):

[1]	Premature Ventricular Contraction (PVC) Recognition Using DCT-CWT Based Discriminant and Optimized RBF Neural Network
	Journal of Biomimetics, Biomaterials and …, 2023

[2]	Automatic Premature Ventricular Contraction Detection Using Deep Metric Learning and KNN
	2021

[3]	Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm
	2020

[4]	Classification of cardiac arrhythmias using deep learning
	2018

[5]	Assessment of Premature Ventricular Contraction Arrhythmia by K-means Clustering Algorithm
	Journal of the Korea Society of Computer and Information, 2017

[1]	Premature Ventricular Contraction (PVC) Recognition Using DCT-CWT Based Discriminant and Optimized RBF Neural Network Journal of Biomimetics, Biomaterials and Biomedical Engineering, 2023 DOI:10.4028/p-6yc34j

[2]	Premature Ventricular Contraction (PVC) Recognition Using DCT-CWT Based Discriminant and Optimized RBF Neural Network Journal of Biomimetics, Biomaterials and Biomedical Engineering, 2023 DOI:10.4028/p-6yc34j

[3]	Automatic Premature Ventricular Contraction Detection Using Deep Metric Learning and KNN Biosensors, 2021 DOI:10.3390/bios11030069

[4]	Automatic Premature Ventricular Contraction Detection Using Deep Metric Learning and KNN Biosensors, 2021 DOI:10.3390/bios11030069

[5]	Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm Neural Computing and Applications, 2020 DOI:10.1007/s00521-020-04876-w

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