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Updated: Nov 18, 2025

Breath Collection from Children for Disease Biomarker Discovery
Published on: February 14, 2019
Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis
Cristhian Manuel Durán Acevedo1, Carlos A Cuastumal Vasquez1, Jeniffer Katerine Carrillo Gómez1
1Multisensor systems and pattern recognition research group, University of Pamplona, North of Santander, Pamplona, Colombia.
Abstract:
This article presents a database which was obtained by acquiring measurements through a multisensory device called Electronic Nose (E-nose) based on a matrix of metal oxide sensors, in order to discriminate and classify a group of people affected by the respiratory disease Chronic Obstructive Pulmonary Disease (COPD), smokers and healthy control people through exhaled breath analysis. The database consists of 4 groups of measurements which were acquired through the E-nose system: 10 control samples (healthy people), 20 samples of people with COPD, 4 samples of smokers and 10 air samples, where in each group two samples of exhaled breath per person were acquired giving a total of 78 samples (40 from COPD, 20 from control, 8 from smokers and 10 from the air).
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