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

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 th...

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Bibliographic Details
Main Author: Rocha, Bruno M (author)
Other Authors: Filos, Dimitris (author), Mendes, Luís (author), Serbes, Gorkem (author), Ulukaya, Sezer (author), Kahya, Yasemin P (author), Jakovljevic, Nikša (author), Turukalo, Tatjana L (author), Vogiatzis, Ioannis M (author), Perantoni, Eleni (author), Kaimakamis, Evangelos (author), Natsiavas, Pantelis (author), Oliveira, Ana (author), Jácome, Cristina (author), Marques, Alda (author), Maglaveras, Nicos (author), Pedro Paiva, Rui (author), Chouvarda, Ioanna (author), de Carvalho, Paulo (author)
Format: article
Language:eng
Published: 2021
Subjects:
Adult
Aged
Algorithms
Child, Preschool
Female
Humans
Male
Pulmonary Disease, Chronic Obstructive
Respiratory Sounds
Signal Processing, Computer-Assisted
Databases, Factual
Online Access:http://hdl.handle.net/10773/30587
Country:Portugal
Oai:oai:ria.ua.pt:10773/30587

Internet

http://hdl.handle.net/10773/30587

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