An open access database for the evaluation of respiratory sound classification algorithms.

@article{Rocha2019AnOA,
  title={An open access database for the evaluation of respiratory sound classification algorithms.},
  author={B. Rocha and D. Filos and L. Mendes and Gorkem Serbes and Sezer Ulukaya and Y. Kahya and N. Jakovljevic and T. L. Turukalo and I. M. Vogiatzis and E. Perantoni and E. Kaimakamis and P. Natsiavas and Ana Oliveira and C. J{\'a}come and A. Marques and N. Maglaveras and Rui Pedro Paiva and I. Chouvarda and Paulo de Carvalho},
  journal={Physiological measurement},
  year={2019},
  volume={40 3},
  pages={
          035001
        }
}
OBJECTIVE Over the last few decades, there has been significant interest in the automatic analysis of respiratory sounds. However, currently there are no publicly available large databases with which new algorithms can be evaluated and compared. Further developments in the field are dependent on the creation of such databases. APPROACH This paper describes a public respiratory sound database, which was compiled for an international competition, the first scientific challenge of the IFMBE's… Expand
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  • Liqun Wu, L. Li
  • Medicine, Computer Science
  • 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • 2020
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