A comparison of neural network models for wheeze detection

An analysis of the use of neural networks to process lung sounds and identify wheezes is presented. Both raw signal data and Fourier transform data were used to train and test a series of neural networks. The purpose of this study was to compare the performance of the neural networks and their ability to detect wheezes in isolated lung sound segments.