Literature DB >> 9451791

A novel method for diabetes diagnosis based on electronic nose.

P Wang1, Y Tan, H Xie, F Shen.   

Abstract

A novel non-invasive method for diabetes diagnosis based on an electronic nose is proposed in this paper. The principles of the method and results of clinical experiments are presented. These results show the convenience, painlessness and non-invasiveness of the method.

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Mesh：

Year:  1997        PMID： 9451791     DOI： 10.1016/s0956-5663(97)00059-6

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN： 0956-5663            Impact factor:   10.618


  16 in total

Review 1.  Advances in electronic-nose technologies developed for biomedical applications.

Authors:  Alphus D Wilson; Manuela Baietto
Journal:  Sensors (Basel)       Date:  2011-01-19       Impact factor: 3.576

2.  Prospects for clinical application of electronic-nose technology to early detection of Mycobacterium tuberculosis in culture and sputum.

Authors:  Reinhard Fend; Arend H J Kolk; Conrad Bessant; Patricia Buijtels; Paul R Klatser; Anthony C Woodman
Journal:  J Clin Microbiol       Date:  2006-06       Impact factor: 5.948

3.  Use of an electronic nose to diagnose Mycobacterium bovis infection in badgers and cattle.

Authors:  R Fend; R Geddes; S Lesellier; H-M Vordermeier; L A L Corner; E Gormley; E Costello; R G Hewinson; D J Marlin; A C Woodman; M A Chambers
Journal:  J Clin Microbiol       Date:  2005-04       Impact factor: 5.948

4.  Diagnosing GORD in Respiratory Medicine.

Authors:  Chris J Timms; Deborah H Yates; Paul S Thomas
Journal:  Front Pharmacol       Date:  2011-07-22       Impact factor: 5.810

Review 5.  Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath.

Authors:  Alphus D Wilson
Journal:  Metabolites       Date:  2015-03-02

Review 6.  Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies.

Authors:  Prashanth Makaram; Dawn Owens; Juan Aceros
Journal:  Diagnostics (Basel)       Date:  2014-04-21

7.  Breath acetone monitoring by portable Si:WO3 gas sensors.

Authors:  Marco Righettoni; Antonio Tricoli; Samuel Gass; Alex Schmid; Anton Amann; Sotiris E Pratsinis
Journal:  Anal Chim Acta       Date:  2012-06-12       Impact factor: 6.558

8.  Solid-state, dye-labeled DNA detects volatile compounds in the vapor phase.

Authors:  Joel White; Kathleen Truesdell; Lloyd B Williams; Mary S Atkisson; John S Kauer
Journal:  PLoS Biol       Date:  2008-01       Impact factor: 8.029

Review 9.  Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective.

Authors:  Changbo Zhao; Guo-Zheng Li; Chengjun Wang; Jinling Niu
Journal:  Evid Based Complement Alternat Med       Date:  2015-07-12       Impact factor: 2.629

10.  Detecting cannabis use on the human skin surface via an electronic nose system.

Authors:  Andreas Voss; Katharina Witt; Tobias Kaschowitz; Wolf Poitz; Andreas Ebert; Patrik Roser; Karl-Jürgen Bär
Journal:  Sensors (Basel)       Date:  2014-07-23       Impact factor: 3.576
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