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Design of a Remote, Multi-Range Conductivity Sensor.
Dima, Georgiana; Radkovskaya, Anna; Stevens, Christopher J; Solymar, Laszlo; Shamonina, Ekaterina.
Afiliação
  • Dima G; Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
  • Radkovskaya A; Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
  • Stevens CJ; Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
  • Solymar L; Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
  • Shamonina E; Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK.
Sensors (Basel) ; 23(24)2023 Dec 08.
Article em En | MEDLINE | ID: mdl-38139558
ABSTRACT
So far, research on remote conductivity detection has primarily focused on large conductivities. This paper examines the entire conductivity range, proposing a method that can be adapted to the desired application. The optimization procedure for the different regions is presented and discussed. Specific interest is given to the low-conductivity range, below 10 S/m, which covers human body tissues. This could lead to applications in body imaging, especially for induction tomography. Conductivities below 12.5 S/m are extracted experimentally with an error below 10%.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article