Ontology highlight
ABSTRACT:
SUBMITTER: Garcia-Ordas MT
PROVIDER: S-EPMC7070339 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
García-Ordás María Teresa MT Benítez-Andrades José Alberto JA García-Rodríguez Isaías I Benavides Carmen C Alaiz-Moretón Héctor H
Sensors (Basel, Switzerland) 20200222 4
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 diseases, 75 of non-chronic diseases and only 35 of healthy individuals. As more than 88% of the samples of the dataset are from the same class (Chronic), the use of a Variational Convolutional Autoencoder was proposed to generate new labeled data and othe ...[more]