TY  - JOUR 
AU  - Escuela de Ingenierias Industrial, Informática y Aeroespacial
AU  - García Ordás, María Teresa
AU  - Benítez Andrades, José Alberto
AU  - García Rodríguez, Isaías
AU  - Benavides Cuéllar, María del Carmen
AU  - Alaiz Moretón, Héctor
AU  - Ingenieria de Sistemas y Automatica
DA  - 2020/02/02
UR  - https://hdl.handle.net/10612/18118
AB  - [EN] The aim of this paper was the detection of pathologies through respiratory sounds. The ICBHI (International Conference on Biomedical and Health Informatics) Benchmark was used. This dataset is composed of 920 sounds of which 810 are of chronic...
LA  - eng
PB  - MDPI
KW  - Informática
KW  - Ingeniería de sistemas
KW  - Medicina. Salud
KW  - Sociología
KW  - CNN
KW  - Pathologies
KW  - Lungs
KW  - Variational autoencoder
KW  - Respiratory
TI  - Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
DO  - 10.3390/s20041214
T2  - Sensors
VL  - 20
M2  - 1214
ER  -