2014
DOI: 10.1108/sr-11-2012-725
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Microwave sensors for the non-invasive monitoring of industrial and medical applications

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Cited by 71 publications
(26 citation statements)
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“…Electromagnetic wave technologies have been successfully applied in several industries, such as monitoring environmental pollution [5], wastewater quality [6], [7], moisture content of building materials [8], carbon emissions levels as well as for monitoring human health [9], [10]. The advantage of this method is real-time monitoring based on the interaction of electromagnetic waves with the material under test.…”
Section: Introductionmentioning
confidence: 99%
“…Electromagnetic wave technologies have been successfully applied in several industries, such as monitoring environmental pollution [5], wastewater quality [6], [7], moisture content of building materials [8], carbon emissions levels as well as for monitoring human health [9], [10]. The advantage of this method is real-time monitoring based on the interaction of electromagnetic waves with the material under test.…”
Section: Introductionmentioning
confidence: 99%
“…The sensor uses electromagnetic waves of 300 MHz to 300 GHz, the sensor is based on conductivity (ability of a material to conduct an electric current) and permittivity (which depends on the dielectric constant of the material) [64]. The use of a non-invasive sensor allows for durability, simple design, portability, and ability for real time analysis [65,66,67]. Although this technique is a promising concept, further research and development is needed before the sensors will influence the world of sports and exercise science.…”
Section: Methods Of Measuring Muscle Glycogen In Athletesmentioning
confidence: 99%
“…M ICROWAVE resonator sensors have demonstrated major advantage of contact-less sensing for different applications ranging from biomedical diagnostics and microfluidics to sensors for the food industry and for environmental monitoring [1]- [4]. The microwave sensors bring the advantages of cost, simplicity, design flexibility and speed associated with label free detection and real time sensing.…”
Section: Introductionmentioning
confidence: 99%