Durán Acevedo Cristhian Manuel, Cuastumal Vasquez Carlos A, Carrillo Gómez Jeniffer Katerine
Multisensor systems and pattern recognition research group, University of Pamplona, North of Santander, Pamplona, Colombia.
Data Brief. 2021 Jan 18;35:106767. doi: 10.1016/j.dib.2021.106767. eCollection 2021 Apr.
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).
本文介绍了一个数据库，该数据库是通过一种名为电子鼻（E-nose）的多感官设备获取测量数据而得到的，该设备基于金属氧化物传感器矩阵，旨在通过呼气分析对一组患有慢性阻塞性肺疾病（COPD）的患者、吸烟者和健康对照者进行鉴别和分类。该数据库由通过电子鼻系统获取的4组测量数据组成：10个对照样本（健康人）、20个COPD患者样本、4个吸烟者样本和10个空气样本，其中每组每人采集两个呼气样本，总共78个样本（40个来自COPD患者，20个来自对照者，8个来自吸烟者，10个来自空气）。
