Design of E-Nose for the Detection of Tuberculosis (TB) and Chronic Obstructive Pulmonary Disease (COPD) Using the Method Artificial Neural Network (ANN)

DOI

10.2991/assehr.k.210909.092How to use a DOI?

Keywords

electronic nose, volatile organic compound, pattern based on disease, backpropagation ANN, TBC, COPD

Abstract

Design research (E-Nose) has been carried out for the detection of Tuberculosis (TBC) and Chronic Obstructive Pulmonary Disease (COPD) using the Artificial Neural Network (ANN) method. Purpose of this study is the first to determine the function of E-Nose in detecting Tuberculosis and COPD, the second to find out how sensor response in the design of E-Nose based on Arduino ATmega in detecting disease. The method used is to input data form of waves in the form of image acquisition then data is analyzed in a quantitative form. After data were analyzed, the process of testing the artificial neural network was carried out to compare COPD and TBC based on the pattern graph. So that TBC disease has pila (2 2 1 1 0 1) and COPD has a pattern (2 1 1 1 0 1).

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  - Rosdiana
AU  - Rachmad Almi Putra
PY  - 2021
DA  - 2021/09/11
TI  - Design of E-Nose for the Detection of Tuberculosis (TB) and Chronic Obstructive Pulmonary Disease (COPD) Using the Method Artificial Neural Network (ANN)
BT  - Proceedings of the 2nd International Conference on Science, Technology, and Modern Society (ICSTMS 2020)
PB  - Atlantis Press
SP  - 419
EP  - 423
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210909.092
DO  - 10.2991/assehr.k.210909.092
ID  - 2021
ER  -