{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T15:50:12Z","timestamp":1781884212934,"version":"3.54.5"},"reference-count":28,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,22]],"date-time":"2020-02-22T00:00:00Z","timestamp":1582329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008431","name":"Consejer\u00eda de Educaci\u00f3n, Junta de Castilla y Le\u00f3n","doi-asserted-by":"publisher","award":["UXXI2018\/000149"],"award-info":[{"award-number":["UXXI2018\/000149"]}],"id":[{"id":"10.13039\/501100008431","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 other well known oversampling techniques after determining that the dataset classes are unbalanced. Once the preprocessing step was carried out, a Convolutional Neural Network (CNN) was used to classify the respiratory sounds into healthy, chronic, and non-chronic disease. In addition, we carried out a more challenging classification trying to distinguish between the different types of pathologies or healthy: URTI, COPD, Bronchiectasis, Pneumonia, and Bronchiolitis. We achieved results up to 0.993 F-Score in the three-label classification and 0.990 F-Score in the more challenging six-class classification.<\/jats:p>","DOI":"10.3390\/s20041214","type":"journal-article","created":{"date-parts":[[2020,2,24]],"date-time":"2020-02-24T03:33:43Z","timestamp":1582515223000},"page":"1214","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":109,"title":["Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3796-3949","authenticated-orcid":false,"given":"Mar\u00eda Teresa","family":"Garc\u00eda-Ord\u00e1s","sequence":"first","affiliation":[{"name":"SECOMUCI Research Groups, Escuela de Ingenier\u00edas Industrial e Inform\u00e1tica, Universidad de Le\u00f3n, Campus de Vegazana s\/n, C.P. 24071 Le\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4450-349X","authenticated-orcid":false,"given":"Jos\u00e9 Alberto","family":"Ben\u00edtez-Andrades","sequence":"additional","affiliation":[{"name":"SALBIS Research Group, Department of Electric, Systems and Automatics Engineering, Universidad de Le\u00f3n, Campus of Vegazana s\/n, 24071 Le\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5209-8773","authenticated-orcid":false,"given":"Isa\u00edas","family":"Garc\u00eda-Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"SECOMUCI Research Groups, Escuela de Ingenier\u00edas Industrial e Inform\u00e1tica, Universidad de Le\u00f3n, Campus de Vegazana s\/n, C.P. 24071 Le\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6514-6858","authenticated-orcid":false,"given":"Carmen","family":"Benavides","sequence":"additional","affiliation":[{"name":"SALBIS Research Group, Department of Electric, Systems and Automatics Engineering, Universidad de Le\u00f3n, Campus of Vegazana s\/n, 24071 Le\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6572-1261","authenticated-orcid":false,"given":"H\u00e9ctor","family":"Alaiz-Moret\u00f3n","sequence":"additional","affiliation":[{"name":"SECOMUCI Research Groups, Escuela de Ingenier\u00edas Industrial e Inform\u00e1tica, Universidad de Le\u00f3n, Campus de Vegazana s\/n, C.P. 24071 Le\u00f3n, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1183\/09031936.00105513","article-title":"Respiratory health and disease in Europe: The new European Lung White Book","volume":"42","author":"Gibson","year":"2013","journal-title":"Eur. 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