Detection of Asthma and Chronic Obstructive Pulmonary Disease (COPD) With an Electronic Nose (E-Nose) Instrumentation System

DOI

10.2991/assehr.k.210909.030How to use a DOI?

Keywords

electronic nose, volatile organic compound, Principal Componen Analysis (PCA), Backpropagation ANN, COPD and asthma

Abstract

An Electronic Nose (E-Nose) device has been designed to detect asthma and Chronic Obstructive Pulmonary Disease (COPD) through breathing air. This tool consists of hardware and software. E-Nose It consists of a gas sensor that can respond quickly to the elements volatile organic compound (VOC) contained in the respiratory air. The method used is the method Principal Component Analysis (PCA) and Artificial Neural Network (ANN) algorithms backpropagation which is the most precise method of visually classifying types of disease. From the test results using the PCA and ANN methods, it is found that E-Nose can distinguish COPD and asthma with a correlation accuracy of 99.5% percentage and degree Mean Squared Error (MSE) of 0.005.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - N. Sagita
AU  - R. A. Putra
AU  - Rahmawati
AU  - M. Yakob
PY  - 2021
DA  - 2021/09/11
TI  - Detection of Asthma and Chronic Obstructive Pulmonary Disease (COPD) With an Electronic Nose (E-Nose) Instrumentation System
BT  - Proceedings of the 2nd International Conference on Science, Technology, and Modern Society (ICSTMS 2020)
PB  - Atlantis Press
SP  - 127
EP  - 131
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210909.030
DO  - 10.2991/assehr.k.210909.030
ID  - Sagita2021
ER  -