The analysis of lung sounds in infants and children with a history of wheezing/asthma using an automatic procedure

Lung sound analysis parameters have been reported to be useful biomarkers for evaluating airway condition. We developed an automatic lung sound analysis software program for infants and children based on lung sound spectral curves of frequency and power by leveraging machine learning (ML) technology...

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Bibliographic Details
Published in:BMC pulmonary medicine 2024-08, Vol.24 (1), p.394-10, Article 394
Main Authors: Mochizuki, Hiroyuki, Hirai, Kota, Furuya, Hiroyuki, Niimura, Fumio, Suzuki, Kenta, Okino, Tsuyoshi, Ikeda, Miki, Noto, Hironori
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Artificial intelligence
Asthma
Asthma - diagnosis
Asthma - physiopathology
Asthma in children
Bronchitis
Child
Child, Preschool
Children
Female
Healthcare industry software
Hospitals
Humans
Infant
Infants
Lung sound analysis
Lungs
Machine Learning
Male
Methods
Pediatrics
Pulmonology
Questionnaires
Reproducibility
Reproducibility of Results
Respiratory Sounds - physiopathology
Review boards
Software
Sound
Surveys
Surveys and Questionnaires
Wheezing
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Summary:Lung sound analysis parameters have been reported to be useful biomarkers for evaluating airway condition. We developed an automatic lung sound analysis software program for infants and children based on lung sound spectral curves of frequency and power by leveraging machine learning (ML) technology. To put this software program into clinical practice, in Study 1, the reliability and reproducibility of the software program using data from younger children were examined. In Study 2, the relationship between lung sound parameters and respiratory flow (L/s) was evaluated using data from older children. In Study 3, we conducted a survey using the ATS-DLD questionnaire to evaluate the clinical usefulness. The survey focused on the history of wheezing and allergies, among healthy 3-year-old infants, and then measured lung sounds. The clinical usefulness was evaluated by comparing the questionnaire results with the results of the new lung sound parameters. In Studies 1 and 2, the parameters of the new software program demonstrated excellent reproducibility and reliability, and were not affected by airflow (L/s). In Study 3, infants with a history of wheezing showed lower FAP and RPF (p 
ISSN:1471-2466
1471-2466
DOI:10.1186/s12890-024-03210-7