Research Progress of Breath Sound Analysis in Children with Bronchial Asthma / 中国医学科学院学报

ABSTRACT

Bronchial asthma is a common chronic respiratory disease,and its diagnosis is mainly based on symptoms,signs,and pulmonary function test.Wheezing is a major symptom of asthma attack,which shows no obvious sign in the early stage while appears after the disease has progressed.Therefore,bronchial asthma is difficult to be detected in early stages,which often leads to worsening of the disease conditions.Pulmonary function test can effectively monitor upper and lower airway abnormalities and is currently the main means for monitoring asthma.However,its accuracy is highly dependent on patient's motivation and cooperation,which obviously limits the scope of application,especially for preschoolers and infants.Hence,there is an urgent need for a new technology with the function of long-term breath sound monitoring and automatic breathing detection to overcome the existing clinical deficiencies.Breath sound analysis emerges in the era of medical artificial intelligence,which can digitally process and convert the collected respiratory sounds by using a variety of different methods to form characteristic signal parameters and model the relationship between parameters and diseases.As we know,breath sounds are closely related to airway changes,and thus the detection and analysis of the sounds can provide reliable clinical information for the progress and control evaluation of asthma.This review mainly summaries the research progress of respiratory sound analysis in recent years,hoping to provide reference for further research.