UC Irvine

This dissertation presents an innovative approach to multiparametric environmental and physiological signal monitoring using passive, wireless sensor networks. These networks, powered by a single radio frequency (RF) reader, utilize tunable relay coils and flexible RF sensors to spectrometrically co-monitor multiple chemical, physical, and biomechanical pa rameters, such as temperature, pressure, pH, nutrient levels, and joint angles, with a single readout. By integrating RF biosensors targeting key minerals like calcium and magnesium within a split-ring resonator architecture, the system enables the co-monitoring of multiple ions, ideal for precision nutrition applications. Additionally, textile-embedded magneto inductive loops are introduced to monitor joint angles during dynamic movements, offering a robust solution for biomechanical assessment without interfering with natural motion or suffering from material fatigue. These advancements offer a scalable, durable, and adapt able solution for health monitoring, rehabilitation, and environmental sensing, overcoming traditional limitations of complex setups and sensor wear.