Title :
Application of a BP Neural Network Based on Principal Component Analysis in ECG Diagnosis of the Right Ventricular Hypertrophy
Author :
Liu, Guangchen ; Song, Mei
Author_Institution :
Sch. of Math. & Inf., Ludong Univ., Yantai, China
Abstract :
In this paper we propose a BP neural network model based on the principal component analysis (PCA) to predicate the Right Ventricular Hypertrophy (RVH), the results show that, the prediction accuracy of the improved model is obviously superior to the pure BP neural model without PCA.
Keywords :
backpropagation; electrocardiography; neural nets; principal component analysis; BP neural network; ECG diagnosis; principal component analysis; right ventricular hypertrophy; Accuracy; Artificial neural networks; Computer applications; Electrocardiography; Electronic mail; Mathematical model; Mathematics; Neural networks; Predictive models; Principal component analysis; BP neural network; ECG; Right Ventricular Hypertrophy (RVH); principal component analysis (PCA);
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.116
