This requires considerable experience and expertise, and misunderstanding breathing sounds can lead to incorrect diagnoses. This wheeze counter holds the promise of revolutionizing research on predicting lung diseases based on long-term breathing patterns, Kim said. When someone is wheezing, the algorithm will count the number of incidences and analyze their timing,” Kim said. “Then we can actually combine the two datasets and do analysis to understand better the association between air pollution and wheezing,” Kim said. Other authors include researchers from Ajou University, Korea University College of Medicine, Eulji University, Seokyeong University and Waycen Inc.