
Design of E-nose as an Instrument Identification of Diseases Through the Respiratory Tract
Author(s) -
Muhammad Yakob,
Dona Mustika,
Ratila Ida,
Rachmad Almi Putra
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1428/1/012062
Subject(s) - electronic nose , identification (biology) , phlegm , instrumentation (computer programming) , respiratory illness , breathing , nose , computer science , principal component analysis , respiratory tract , principal (computer security) , medicine , artificial intelligence , computer vision , intensive care medicine , medical physics , pathology , surgery , respiratory system , computer security , psychiatry , botany , alternative medicine , traditional chinese medicine , biology , operating system
The identification of a particular illness is usually done by microscopic check-up from the phlegm, urine, blood, Rontgen, and CT-scan. This technique needs a long period, high cost, and complicated procedure. As a result, society feels reluctant to check up on their health. Thus, research of an instrument that can define and diagnose the illness easily, efficiently, and accurately is needed. This research developed a prototype of an electronic nose that consists of a gas sensor that can respond quickly the element of volatile organic through the breathing air. Principal component analysis (PCA) method is the most appropriate method to classify the type of illness visually. Therefore, this research is needed to be applied in medical instrumentation.