Miniaturized Broadband Microwave Permittivity Sensing for Biomedical Applications
Gerasimos Vlachogiannakis (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Zhebin Hu (HiSilicon Technologies Co., TU Delft - Electrical Engineering, Mathematics and Computer Science)
Harshitha Thippur Shivamurthy (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Andrea Neto (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Michiel A.P. Pertijs (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Leo C.N. De Vreede (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Marco Spirito (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
We present a compact, scalable, and broadband architecture for the implementation of complex microwave permittivity sensors in complementary metal-oxide semiconductor (CMOS) technology. The proposed architecture consists of a patch sensor embedded in a programmable balanced readout bridge and performs third and fifth harmonic downconversion for fast multi-frequency readout. Circuits designed can act as the basic building block for a wide span of biomedical applications, ranging from wearables to permittivity imaging. Experimental results of manufactured prototypes demonstrate measurement noise reduction through bridge balancing, Debye model parameter estimation of independent material with a 1.6% error using full frequency dataset, and 5.3% in high energy efficiency mode, as well as image construction based on material permittivity differences.