The application belongs to the field of
digital medicine, and particularly relates to a chronic obstructive
pulmonary disease (
COPD) differential
system based on digital
lung sound, a construction method and application thereof. The
system comprises a
data acquisition module, a preprocessing module, a conversion module, a data module, a
data processing module, a data enhancement training module, a
deep learning module, a differential module, a grading module and a display module. Digital
lung sound records of candidates are collected, converted into mel spectrograms, and diagnosed by using a deep neural network. The candidates are
COPD patients, healthy people, or people suffering from other
lung diseases, and the
disease grade of the
COPD patients is given by a device carrying the differential
system. The examination only needs to collect lung sounds in clinical or other places, reduces
radiation damage and possible
infection risk in the conventional diagnosis process, and provides a scheme for early diagnosis of COPD, and improves the diagnosis efficiency of the respiratory department, especially the COPD
disease.