Development of optimized miniaturized circuits in wearable devices for non-invasive detection of chronic disease biomarkers

The research investigates the design of optimized miniaturized circuits for wearable biosensors using non-invasive biofluids as analytes containing chronic disease biomarkers. Sweat, saliva, and breath eliminate the need for invasive and inconvenient blood or urine sampling and ensure continuous health monitoring of the elderly population, where chronic disease is more prevalent. The research will identify methods to improve biosensor accuracy at lower biofluid concentrations by integrating advanced signal processing techniques. Energy harvesting strategies will be implemented to increase the power efficiency of the wearable technology, thereby reducing the burden of battery replacements. The expected outcome is a highly sensitive biosensor circuit, easily implemented in patients’ daily lives, that enhances patient autonomy and promotes early disease detection.