Classification of Atrial Enlargement Using Neural Networks

摘要

The aim of this study was to classify using a neural network LAE into mildly,moderately,and severely abnormal from a subject’s P-wave.Cardiological features,wavelet features,and a combination of both were used to train the neural networks.It was found features derived from the wavelet energy spectrum performed better than the cardiological features on the test cases.