Embedded System for Biomedical Application
Embedded System for Biomedical Application
Programmable digital circuits are advancing healthcare technology by integrating cutting-edge sensor solutions with embedded circuits and systems, alongside the innovative potential of Edge AI. This synergy supports health-focused electronics, enabling real-time monitoring of vital parameters and general wellness through wearable devices, with a specific focus on minimizing power consumption and enhancing energy efficiency. Advanced sensing technologies —including optoelectronic and fiber-based sensors, multi-wavelength PPG sensors, piezoelectric, and force-sensing resistors—facilitate precise, continuous data acquisition. Edge AI further empowers these embedded systems to process complex biosignals directly on-device, delivering timely, actionable insights in low-power, compact form factors.
[1] Gragnaniello, M., Borghese, A., Marrazzo, V.R., Breglio, G., Irace, A., Riccio, M. (2024). A Microcontroller-Based System for Human-Emotion Recognition with Edge-AI and Infrared Thermography. In: Bellotti, F., et al. Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol 1110. Springer, Cham. https://doi.org/10.1007/978-3-031-48121-5_46.
[2] Gragnaniello, M.; Borghese, A.; Marrazzo, V.R.; Maresca, L.; Breglio, G.; Irace, A.; Riccio, M. Real-Time Myocardial Infarction Detection Approaches with a Microcontroller-Based Edge-AI Device. Sensors 2024, 24, 828. https://doi.org/10.3390/s24030828.
Quantum computing
Quantum computing leverages quantum bits, or qubits, which, unlike classical bits, can exist in superpositions of states. Superconducting qubits, one of the leading types of qubits, operate at cryogenic temperatures where certain materials conduct electricity without resistance. The readout process is key to measuring the qubit’s state, translating quantum information into a classical signal. This often involves coupling the qubit to a resonator circuit, and several instrumentations both at room and cryogenic temperatures. With the aim to scale up the system footprint, a scalable approach based on a full cryogenic readout is being deeply investigated. As in the classical measurement, also at cryogenic temperatures, by analyzing the frequency shifts in the resonance frequency, one can infer whether the qubit is in state 0 or 1 [1].
[1] L. Di Marino, Luigi Di Palma, Michele Riccio, Francesco Fienga, Marco Arzeo, Oleg Mukhanov, “Control of a Josephson Digital Phase Detector via an SFQ-based Flux Bias Driver”, IEEE Workshop on Low Temperature Electronics 16 (WOLTE16), 2024. (Submitted) to IEEE Transaction on Quantum Engineering
Sensor system for high energy physics (SND CB)
