Title :
Application of a BP Network Based on PCA in ECG Diagnosis of the LVH
Author :
Liu, Guangchen ; Song, Mei
Author_Institution :
Sch. of Math. & Inf., Ludong Univ., Yantai, China
Abstract :
A BP neural network model based on the principal component analysis (PCA) was proposed to predicate the Left Ventricular Hypertrophy (LVH), the results showed that, the prediction accuracy of the modified model (99.6%) was superior to the pure BP neural model without PCA (98.5%) obviously.
Keywords :
backpropagation; blood vessels; cardiovascular system; electrocardiography; medical computing; neural nets; neurophysiology; principal component analysis; BP neural network model; ECG diagnosis; LVH; PCA; electrocardiography; left ventricular hypertrophy; principal component analysis; Accuracy; Artificial neural networks; Electrocardiography; Electronic mail; Heart; Mathematical model; Mathematics; Neural networks; Predictive models; Principal component analysis;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162380
