Introduction: Pneumonia presents a significant challenge in the practical medicine
due to its potential to result in severe complications and pose health hazards.
Aims: To enhance acoustic diagnostics and identify the main pathological types of
breathing in children with community-acquired pneumonia using the "Trembita-
Corona" acoustic monitoring device. Methods: This study adopts a prospective,
analytical, and cross-sectional design, involving 330 participants aged between 1
month and 18 years. We categorized them into two groups: Group I comprised
230 patients diagnosed with community-acquired pneumonia (CAP), while
group II consisted of 100 healthy children. Results: We designed the "Trembita-
Corona" device for monitoring lung conditions in children. We employed
mathematical algorithms for respiratory sound analysis eliminated human bias.
Among children in Group I, we detected bronchial breathing in 213 (92.6%) cases
and weakened vesicular breathing in 17 (7.4%) cases. We investigated the
pathological bronchial type of breathing using the "Trembita-Corona" device. We
found the difference (p<0.01) in the amplitude of the acoustic signal between the
two types of breathing across various octaves (0, 1, 2, 3, 4, 5, 7, 8). Conclusion: The
"Trembita-Corona" acoustic monitoring device and its accompanying software
enable precise discrimination between pathological and typical breathing
patterns in children, thereby facilitating prompt and accurate diagnosis of lung
pathologies.
Keywords: Community-acquired pneumonia, acoustic diagnostics, "Trembita-
Corona", children
