In this paper, microwave active antenna sensor based MDBM meter is developed for continuous glucose measurement (CGM) in human body. MDBM meter consists of Antiallergic Abdominal belt with radar IC (RCWL0516) mixer IC (BFR520) and HSIS antenna sensor. Microwave active antenna sensor is H-shaped patch with I-shaped slot (HSIS), which is placed on human pancreas and acquires reflected microwave signals from dielectric materials in pancreas. Pancreas dielectric materials radiation property changes during insulin secretion. Existing CGM meter measure diabetic value using invasive sensor. Invasive sensor is prick type sensor and leads to infections. In human body, pricked sensor stays on body for 14 days. Non-invasive sensor based diabetic measurement meter never measures CGM, due to various problem such as sensor mounting on human body and skin crumbling effect. For above problems, MDBM meter is proposed. In MDBM meter, antenna receives reflected signals from dielectric minerals in pancreas through HSIS active sensor antenna process with microcontroller and predicts diabetic value based on machine learning. Return loss of HSIS antenna sensor is highly correlated with laboratory based diabetic measurement. MDBM meter based CGM is performed in 150 diabetic person with 410 samples data. From MDBM meter, fasting blood glucose test, accuracy is about 92.66%, glucose tolerance test, is about 91.33% accuracy, and random blood glucose test accuracy is about 91.88% were obtained. Proposed MDBM meter with HSIS antenna sensor measures fluctuating diabetic value with 91.85% accuracy, when compared to home based invasive glucometer measurement.

In this paper, we propose non-invasive method to detect glaucoma eye disease at earlier stage from aqueous humor (AH) fluid’s biomagnetic signal in anterior chamber of eye. The AH fluid has biomagnetic emission because of magnetic material such as sodium, potassium, chloride, bicarbonate and protein. At present, diagnosis of glaucoma has done at later stage because of undetectable micro variation in fundus image cup to disc size ratio measurement and because of similar symptoms in glaucoma eye and vision problem. In proposed method, glaucoma detect through acquisition of AH fluid biomagnetic signal from eye through Giant Magnetoresistance Magnetometers (GMR) sensor. The biomagnetic signal of AH fluid’s dynamic and static variation in eye analyze with Rational Dilation Wavelet Transform (RADWT) algorithm. The variations of AH fluid obtain through beta-blocker eye drops. From experiment, AH fluid’s biomagnetic signal shows variations for the rate of dissipation of fluid in eye such as normal, glaucoma eye, with and without eye drops. The AH biomagnetic signal correlates glaucoma disease with signal variance and RADWT sub band energy for 50 glaucoma and 10 normal eye. The proposed method detect glaucoma eye in the early stage of 90.