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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Detalhes bibliográficos
Autor principal: Rocha, Bruno M (author)
Outros Autores: 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)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Adult
Aged
Algorithms
Child, Preschool
Female
Humans
Male
Pulmonary Disease, Chronic Obstructive
Respiratory Sounds
Signal Processing, Computer-Assisted
Databases, Factual
Texto completo:http://hdl.handle.net/10773/30587
País:Portugal
Oai:oai:ria.ua.pt:10773/30587

Texto Completo

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

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