Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound

被引：0
|
作者：
Pessoa, Diogo [1 ]
Rocha, Bruno Machado [1 ]
Gomes, Maria [2 ]
Rodrigues, Guilherme [2 ]
Petmezas, Georgios [3 ]
Cheimariotis, Grigorios-Aris [3 ]
Maglaveras, Nicos [3 ]
Marques, Alda [2 ,4 ]
Frerichs, Inéz [5 ]
de Carvalho, Paulo [1 ]
Paiva, Rui Pedro [1 ]
机构：
[1] University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, Coimbra,3030-290, Portugal
[2] Lab3R — Respiratory Research and Rehabilitation Laboratory, School of Health Sciences (ESSUA), University of Aveiro, Aveiro,3810-193, Portugal
[3] 2nd Department of Obstetrics and Gynaecology, Laboratory of Computing, Medical Informatics and Biomedical-Imaging Technologies, Medical School, Aristotle, University of Thessaloniki, Thessaloniki,54124, Greece
[4] Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro,3810-193, Portugal
[5] Department of Anaesthesiology and Intensive Care Medicine, University Medical Centre Schleswig-Holstein, Campus Kiel, Kiel,24105, Germany
来源：
Biomedical Signal Processing and Control | 2024年 / 87卷
基金：
欧盟地平线“2020”;
关键词：
Acoustical airflow estimation - Deep learning - Dimensionless respiratory airflow - Electrical impe dance tomography (EIT) - Flow–sound relationship - Learning models - Respiratory airflow - Respiratory sound analyse - Respiratory sounds - Sound analysis;
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