scholarly journals DH2.5 - Development of Exhaled Breath Monitoring System Using Semiconductive Gas Sensors and Statistical Analysis

2018 ◽  
Author(s):  
T. Iton ◽  
T. Miwa ◽  
A. Tsuruta ◽  
T. Akamatsu ◽  
N. Izu ◽  
...  
Sensors ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 1891 ◽  
Author(s):  
Toshio Itoh ◽  
Toshio Miwa ◽  
Akihiro Tsuruta ◽  
Takafumi Akamatsu ◽  
Noriya Izu ◽  
...  

Author(s):  
Helen Koo ◽  
Hyejin Park ◽  
Dong-Joo Kim ◽  
Hosang Ahn

Chemosensors ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 209
Author(s):  
Davide Marzorati ◽  
Luca Mainardi ◽  
Giulia Sedda ◽  
Roberto Gasparri ◽  
Lorenzo Spaggiari ◽  
...  

Lung cancer is characterized by a tremendously high mortality rate and a low 5-year survival rate when diagnosed at a late stage. Early diagnosis of lung cancer drastically reduces its mortality rate and improves survival. Exhaled breath analysis could offer a tool to clinicians to improve the ability to detect lung cancer at an early stage, thus leading to a reduction in the associated survival rate. In this paper, we present an electronic nose for the automatic analysis of exhaled breath. A total of five a-specific gas sensors were embedded in the electronic nose, making it sensitive to different volatile organic compounds (VOCs) contained in exhaled breath. Nine features were extracted from each gas sensor response to exhaled breath, identifying the subject breathprint. We tested the electronic nose on a cohort of 80 subjects, equally split between lung cancer and at-risk control subjects. Including gas sensor features and clinical features in a classification model, recall, precision, and accuracy of 78%, 80%, and 77% were reached using a fourfold cross-validation approach. The addition of other a-specific gas sensors, or of sensors specific to certain compounds, could improve the classification accuracy, therefore allowing for the development of a clinical tool to be integrated in the clinical pipeline for exhaled breath analysis and lung cancer early diagnosis.


Author(s):  
Antonio Vincenzo Radogna ◽  
Nicola Fiore ◽  
Maria Rosaria Tumolo ◽  
Valerio De Luca ◽  
Lucio T. De Paolis ◽  
...  

2017 ◽  
Author(s):  
Paula Regina Fortes ◽  
João Flávio da Silveira Petruci ◽  
Ivo Milton Raimundo

2006 ◽  
Vol 126 (12) ◽  
pp. 631-636 ◽  
Author(s):  
Masashi Kikuchi ◽  
Tsukasa Ito ◽  
Seimei Shiratori

2009 ◽  
Vol 21 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Kevin H. Dunn ◽  
Isabelle Devaux ◽  
Allison Stock ◽  
Luke P. Naeher

2013 ◽  
Vol 427-429 ◽  
pp. 1254-1257
Author(s):  
Kuan Gang Fan ◽  
Xin Zhang ◽  
Qing Mei Cao ◽  
Ying Fei Sheng ◽  
Le Ping Zheng

Gas detection alarm system plays a more and more important role in People's Daily life and every field. This paper proposes semiconductor gas sensors and SCM as the core, which could achieves the gas concentration monitoring and alarm functions. The gas monitoring system includes host computer that consists of LabVIEW operating interface and slave computer that constructed with AT89C51 microcomputer and MQ-2 gas sensor.It achieves remote monitoring and controlling housing environment in real-time and has a certain practical value in society.


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