Frequency Domain Identification of Glucose Aqueous Solutions at Physiological Levels

A non-invasive glucose measurement system (NIGMS) is based on dielectric spectroscopy (DS). This technique allows measuring the properties of the system as a function of the frequency as well as distinguishing between the different processes that could be involved. When developing a NIGMS one must deal with different noise sources that need to be identified and quantified in order to provide confidence bounds for the estimated glucose level. Hence, advanced signal processing techniques are needed to quantify, detect and discriminate the presence of noise sources as well as the non-linear distortions inherent to the system. Combining non-linear identification techniques and odd random phase multisine (ORPM), together with the DS will allow for an accurate NIGMS