Document Type
Conference Item
Publication Date
1-1-2016
Abstract
This paper classifies the urinary dielectric properties of subjects with diabetes mellitus (DM), chronic kidney disease (CKD), and normal subjects at microwave frequency from 1 GHz to 50 GHz using support vector machine (SVM). The dielectric properties measurements were conducted using open-ended coaxial probe at room temperature (25°C), 30°C and human body temperature (37°C). The highest classification accuracy was achieved at 88.72% to distinguish diabetic subjects from normal. The urinary dielectric behavior was found optimal at 30°C. The highest accuracy was achieved at 64.50% for three-group classification.
Keywords
Urinary dielectric properties, Diabetes and kidney disease, Support vector machine
Divisions
fac_eng
Event Title
The 16th International Conference on Biomedical Engineering 2016
Event Location
Singapore
Event Dates
7-10 December 2016
Event Type
conference
Additional Information
Conference paper - MST