Application of Advanced Convolutional Neural Networks in Multiclass Respiratory Sound Analysis
This paper aims to construct and evaluate deep learning-based lung sound classifiers to differentiate bronchitis,chron-ic obstructive pulmonary disease(COPD)pneumonia,upper respiratory tract infection(URTI),and healthy states.Using the publicly available ICBHI 2017 dataset,this paper employs data augmentation techniques and spectral feature extraction to build three models,convolutional neural network(CNN),deep neural network(DNN)and residual networks(ResNet).The exper-imental results demonstrate that these models perform excellently in the task of lung sound classification,with the ResNet model showing the best performance across all models.
deep learningconvolutional neural networkdeep neural networkresidual network
万方数据
维普
