Search Results - kavyashree+puttananjegowda

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A CMOS based low-power, low-noise potentiostat circuit and its integration with an ENFM based glucose sensor
Advantages Single chip design enables compact and truly wearable glucose monitoring devices Detects very low glucose concentrations with high precision and reliable accuracy Ultra-low power draw significantly extends battery life in portable health monitors Robust sensor structure supports dependable reuse for up to fifty continuous days Summary Diabetes...
Published: 6/22/2026   |   Updated: 5/26/2026   |   Inventor(s): Kavyashree Puttananjegowda, Sylvia Thomas, Arash Takshi
Keywords(s):  
Category(s): Technology Classifications > Medical > Endocrinology
Silicon Carbide Nanoparticles Fibrous Membrane for Implantable Glucose Sensors
Advantages Easy to fabricate, cost-effective, energy-efficient, and adaptable for detecting diverse biochemical reactions through suitable material choice and surface functionalization. Delivers low-noise, high-gain, linear, and stable performance at significantly lower power than previous state-of-the-art potentiostats. High sensor durability...
Published: 6/22/2026   |   Updated: 8/17/2022   |   Inventor(s): Kavyashree Puttananjegowda, Sylvia Thomas, Arash Takshi
Keywords(s): Diabetes, Drug Delivery and Nanomedicine, Medical Diagnostics, Sensors
Category(s): Technology Classifications > Medical > Medical Devices, Technology Classifications > Medical > Endocrinology, Technology Classifications > Medical > Medical Sensors
Ultra Low Noise Transimpedence Amplifier for Blood Glucose Monitoring Systems
Competitive Advantages High sensitivity Low power consumption Improved accuracy and range for blood glucose measurements Decreased noise from measurements Summary USF inventors have created an ultra low noise and power transimpedance amplifier (TIA) to be used with a glucose meter. A multistage complementary metal-oxide-semiconductor (CMOS)...
Published: 6/22/2026   |   Updated: 6/15/2022   |   Inventor(s): Sylvia Thomas, Kavyashree Puttananjegowda
Keywords(s):  
Category(s): Technology Classifications > Computer Science > C/S Sensors, Technology Classifications > Medical > Endocrinology, Technology Classifications > Medical, Technology Classifications > Computer Science