• Convolutional Neural Network for Breathing Phase Detection in Lung Sounds 

      Jacome, Cristina; Ravn, Johan; Holsbø, Einar; Aviles-Solis, Juan Carlos; Melbye, Hasse; Ailo Bongo, Lars (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-04-15)
      We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually annotated by two experienced lung sound researchers. Our algorithm uses a convolutional neural network with spectrograms as the features, removing the need to specify features explicitly. We trained and evaluated the ...
    • Inspiratory crackles-early and late-revisited: identifying COPD by crackle characteristics 

      Melbye, Hasse; Aviles Solis, Juan Carlos; Jacome, Cristina; Pasterkamp, Hans (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-05)
      Background The significance of pulmonary crackles, by their timing during inspiration, was described by Nath and Capel in 1974, with early crackles associated with bronchial obstruction and late crackles with restrictive defects. Crackles are also described as ‘fine’ or ‘coarse’. We aimed to evaluate the usefulness of crackle characteristics in the diagnosis of chronic obstructive pulmonary disease ...
    • Prevalence and clinical associations of wheezes and crackles in the general population: The Tromsø study 

      Aviles Solis, Juan Carlos; Jacome, Cristina; Davidsen, Anne Herefoss; Einarsen, R; Vanbelle, Sophie; Pasterkamp, Hans; Melbye, Hasse (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-09-11)
      <i>Background</i> - Wheezes and crackles are well-known signs of lung diseases, but can also be heard in apparently healthy adults. However, their prevalence in a general population has been sparsely described. The objective of this study was to determine the prevalence of wheezes and crackles in a large general adult population and explore associations with self-reported disease, smoking status and ...