Application of a BP Neural Network Based on Principal Component Analysis in ECG Diagnosis of the Right Ventricular Hypertrophy

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.