@article {63,
	title = {Non-invasive Glucose Monitoring at mm-Wave Frequencies},
	journal = {Journal of Computational Vision and Imaging Systems},
	volume = {4},
	year = {2018},
	month = {12/2018},
	abstract = {<p><span>In this paper, we review our recent experimental studies to develop a non-invasive blood glucose monitoring system at mmwave frequencies. A robust 60 GHz radar system is used to differentiate between hemoglobin samples of disparate glucose concentrations through detecting minute changes in their dielectric properties. A new-developed dielectric assessment system (DAK) is used to characterise the electromagnetic properties of the tested samples and identify the amount of change in these parameters at different concentrations of interest.</span></p>
},
	url = {https://openjournals.uwaterloo.ca/index.php/kinema},
	author = {Ala Eldin Omer and George Shaker and Safieddin Safavi-Naeini}
}
