Α Respiratory Sound Database for the Development of Automated Classification

By B. Rocha, D. Filos, L. Mendes, I. Vogiatzis, E. Perantoni, E. Kaimakamis, P. Natsiavas, Ana Oliveira, C. Jácome, A. Marques and 4 more. International Conference on Biomedical and Health Informatics, 2017

306 citations recorded by the source corpus.

Subfields: Issues, ethics and legal aspects, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/60cf82d13518e3792ce0a0b41dd456ab8bf9cefa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. B. Rocha
2. D. Filos
3. L. Mendes
4. Gorkem Serbes
5. Sezer Ulukaya
6. Y. Kahya
7. N. Jakovljević
8. T. L. Turukalo

Citations in the corpus

• An open access database for the evaluation of respiratory sound classification algorithms (2019, methodology): “To overcome these difficulties, we compiled a database of respiratory sounds (Rocha et al 2018) and organised a scientific challenge at the International Conference on Biomedical and Health Informatics (ICBHI) 2017.”