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Selected optoelectronic sensors in medical applications

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Optoelectronic technology plays an important role in medical diagnosis. In the paper a review of some optoelectronic sensors for invasive and non-invasive human health test is presented. The main attention is paid on their basic operation principle and medical usefulness. The paper presents also own research related to developing of tools for human breath analysis. Breath sample unit and three gaseous biomarkers analyzer employing laser absorption spectroscopy designed for clinical diagnostics were described. The analyzer is equipped with sensors for CO, CH₄ and NO detection. The sensors operate using multi-pass spectroscopy with wavelength modulation method (MUPASS-WMS) and cavity enhanced spectroscopy (CEAS).
Twórcy
autor
  • Institute of Optoelectronics, Military University of Technology, gen. Witolda 2 Urbanowicza Str., Warsaw 00-908, Poland
autor
  • Institute of Experimental Physics, Faculty of Physics, University of Warsaw, 5 Pasteura St., Warsaw 04-093, Poland
autor
  • Institute of Optoelectronics, Military University of Technology, gen. Witolda 2 Urbanowicza Str., Warsaw 00-908, Poland
  • Institute of Optoelectronics, Military University of Technology, gen. Witolda 2 Urbanowicza Str., Warsaw 00-908, Poland
autor
  • Institute of Optoelectronics, Military University of Technology, gen. Witolda 2 Urbanowicza Str., Warsaw 00-908, Poland
autor
  • Institute of Optoelectronics, Military University of Technology, gen. Witolda 2 Urbanowicza Str., Warsaw 00-908, Poland
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Uwagi
1. The research presented in this paper has been carried out in the laboratory of Institute of Optoelectronics MUT, supported by the National Centre for Research and Development and National Science Centre in the scope of Projects: ID: 179900, DEC- 2011/03/B/ST7/02544.
2. Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-365f74f2-f33d-4cbe-b271-a62d3b358c22
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