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Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis

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doi.org2020-12-29 更新2025-03-27 收录
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http://doi.org/10.17632/h5pcn99zw4.5
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资源简介:
This dataset is related to the research paper “Wireless electronic smell system for the detection of diseases through the exhaled breath” published in chemical engineering transactions journal (available online from October 1, 2018, https://doi.org/10.3303/cet1868066), and the data paper " Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis " submitted to Data in Brief journal. For more details read the mentioned articles. The data were acquired with a sampling rate of 500 samples / second and a resolution of the ADC of 24 bits, obtaining measurements of exhaled breath with a length of 4000 data points per sensor through the matrix of 8 sensors or variables (SP-3, MQ-3, TGS 822, MQ-138, MQ-137, TGS 813, TGS-800, MQ-135). In each of the measurements of the In three groups analyzed, two measurements were taken per person with the purpose to obtain a correct measurement gathering and also correlate the exhaled breath measurements of the same person (repeatability). That is the reason why a total of 78 samples were obtained (40 from COPD, 20 from control, 8 from smokers, and 10 from the air. The database is organized in three files COPD, SMOKERS, CONTROL, and AIR in .txt format; which contain the measurements in voltage units and show the characteristic response of a MOS type sensor in the presence of a gas. Additionally, a text file is attached which comprises data such as gender, age, and COPD severity level (estimated) from each person and other relevant data.

本数据集与发表于《化学工程交易》期刊上的研究论文《一种用于通过呼出气体检测疾病的无线电子嗅觉系统》相关(自2018年10月1日起在线可用,https://doi.org/10.3303/cet1868066),以及提交至《Data in Brief》期刊的《用于通过呼出气体分析检测慢性阻塞性肺疾病(COPD)的电子鼻数据集》数据论文。欲了解更多详情,请参阅所提及的文献。数据采集采用500样本/秒的采样率和24位ADC分辨率,通过8个传感器或变量(SP-3、MQ-3、TGS 822、MQ-138、MQ-137、TGS 813、TGS-800、MQ-135)矩阵对每个传感器的呼出气体进行测量,每次测量长度为4000个数据点。在三个分析组中,每人进行两次测量,旨在获取准确的测量数据并关联同一人的呼出气体测量结果(可重复性)。因此,总共获得了78个样本(其中40个来自COPD患者,20个来自对照组,8个来自吸烟者,10个来自空气)。数据库以.txt格式组织为三个文件:COPD、SMOKERS、CONTROL和AIR,其中包含以伏特为单位测量的数据,并展示了MOS类型传感器在存在气体时的特征响应。此外,还附带一个文本文件,其中包含每个人的性别、年龄、COPD严重程度(估计)以及其他相关数据。
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doi.org
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集用于通过呼气分析检测慢性阻塞性肺疾病(COPD),包含来自COPD患者、吸烟者、健康对照和空气样本的78个样本,使用8个传感器以高采样率和分辨率采集电压数据。数据集旨在支持疾病诊断研究,并附有元数据如性别、年龄和COPD严重程度,适用于工程和数据分析领域。
以上内容由遇见数据集搜集并总结生成
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