Classifications of Atrial Enlargement Using Neural Networks
Abstract
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.
Conference Title
8th International Symposium on Antennas, Propagation and M Theory 2008
Copyright Statement
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Subject
Biomedical Engineering not elsewhere classified