This thesis presents the development of compact and optimized electronic systems for portable electrochemical characterization, biosensing, and electrical stimulation, aiming to advance continuous, non-invasive, and personalized healthcare monitoring. The primary objective is to design and implement low-noise, high-performance electronic interfaces that enable reliable electrochemical sensing, impedance spectroscopy, and electrical stimulation in portable or point-of-care environments. Leveraging advances in mixed-signal circuit design, the research explores energy-efficient architectures for real-time electrochemical signal acquisition and controlled electrical actuation. The work addresses critical challenges in device-level biosensing technologies, emphasizing long-term operational stability, high measurement accuracy, and robust wireless communication to ensure dependable performance in connected healthcare scenarios. To overcome these challenges, the thesis introduces innovative circuit- and system-level solutions: a miniaturized potentiostat for electrochemical sensing, configurable bio-impedance spectroscopy interfaces, and a programmable electrical stimulator designed for therapeutic and reverse-iontophoretic applications. Special attention is devoted to safety mechanisms, fault protection strategies, portability, and sustained reliability under physiological conditions and resource-constrained environments. A major contribution of this work lies in the design of compact and modular mixed-signal platforms tailored for diverse bioelectronic modalities, providing the building blocks for future closed-loop healthcare systems. Experimental validation demonstrates accurate signal acquisition, efficient power management, and reliable operation under physiological conditions, establishing a technological foundation for next-generation wearable and point-of-care diagnostic platforms.

Design and Development of Electronic Sensor Interfaces for Point-of-Care Devices: Bridging Research and Industrial Innovation

Ciarrocchi, Davide
2026

Abstract

This thesis presents the development of compact and optimized electronic systems for portable electrochemical characterization, biosensing, and electrical stimulation, aiming to advance continuous, non-invasive, and personalized healthcare monitoring. The primary objective is to design and implement low-noise, high-performance electronic interfaces that enable reliable electrochemical sensing, impedance spectroscopy, and electrical stimulation in portable or point-of-care environments. Leveraging advances in mixed-signal circuit design, the research explores energy-efficient architectures for real-time electrochemical signal acquisition and controlled electrical actuation. The work addresses critical challenges in device-level biosensing technologies, emphasizing long-term operational stability, high measurement accuracy, and robust wireless communication to ensure dependable performance in connected healthcare scenarios. To overcome these challenges, the thesis introduces innovative circuit- and system-level solutions: a miniaturized potentiostat for electrochemical sensing, configurable bio-impedance spectroscopy interfaces, and a programmable electrical stimulator designed for therapeutic and reverse-iontophoretic applications. Special attention is devoted to safety mechanisms, fault protection strategies, portability, and sustained reliability under physiological conditions and resource-constrained environments. A major contribution of this work lies in the design of compact and modular mixed-signal platforms tailored for diverse bioelectronic modalities, providing the building blocks for future closed-loop healthcare systems. Experimental validation demonstrates accurate signal acquisition, efficient power management, and reliable operation under physiological conditions, establishing a technological foundation for next-generation wearable and point-of-care diagnostic platforms.
27-mag-2026
Inglese
DI BIASE, LAZZARO
ZOMPANTI, ALESSANDRO
FANALI, CHIARA
Università Campus Bio-Medico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/368895
Il codice NBN di questa tesi è URN:NBN:IT:UNICAMPUS-368895