MFCC-based deep neural diagnosis and analysis of bluetooth auscultation lung sounds
碩士 === 國立東華大學 === 應用數學系 === 107 === This work explores MFCC(Mel-frequency cepstrum coefficient) based diagnosis and analysis of bluetooth stethoscope recorded lung sounds using deep convolutional neural network (CNN) and RBF (radial basis function) neural networks. The preprocess applies a sliding w...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/fay3jq |