Sensors and Embedded Systems Design Lab (EMsensED Lab)
Team members
- Ilaria De Munari, PA, Coordinator
- Valentina Bianchi, RTD-B
- Andrea Boni, PA
- Mattia Stighezza, PhD student
The research activity of EMsensED Lab is focused on the design of embedded systems based on Microcontrollers and/or FPGAs. The research group gained relevant experience in the implementation of advanced algorithms for data elaboration, and in the design of wearable/portable IoT sensors based on Wi-Fi, ZigBee and NB-IoT protocols, and of analog circuits for sensor interface, signal amplification, and analog-to-digital signal conversion.
The actual research interests are summarized in the following:
- Design of wearable sensors for human activity monitoring (in sports, in everyday life ...);
- Development of portable IoT sensors, based on the Wi-Fi technology, dedicated to electrochemical analysis for Point-of-Care Testing (POCT);
- Design of FPGA systems for the sensing of State of Charge (SOC) /State of Health (SOH) of battery cells;
- Design of arithmetic blocs for digital processing on FPGA.
Contact person: Ilaria De Munari – ilaria.demunari@unipr.it
Recent Research Projects
- Participation to the Project ``Biosensoristica innovativa per i test sierologici e molecolari e nuovi dispositivi PoCT per la diagnosi di infezione da SARS-CoV-2'' funded in 2020, by ``Bando Straordinario di Ateneo per Progetti di Ricerca Biomedica in Ambito SARS-COV-2 e COVID-19,'' University of Parma.
- Project “Advanced Approaches for batteries State of Charge (SoC) evaluation”, funded in 2021 by Programme “FIL-Quota Incentivante” of University of Parma and co-sponsored by Fondazione Cariparma (project leader: Valentina Bianchi)
Selected publications
- Stighezza, M., Bianchi, V., De Munari, I., “FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries”, (2021) Energies, 14 (21), art. no. 7064.
- Bianchi, V., Boni, A., Bassoli, M., Giannetto, M., Fortunati, S., Careri, M., De Munari, I., “IoT and Biosensors: A Smart Portable Potentiostat with Advanced Cloud-Enabled Features”, (2021) IEEE Access, 9, pp. 141544-141554.
- Boni, A., Bianchi, V., Ricci, A., De Munari, I., “NB-IoT and Wi-Fi Technologies: An Integrated Approach to Enhance Portability of Smart Sensors”, (2021) IEEE Access, 9, art. no. 9435286, pp. 74589-74599.
- Stighezza, M., Bianchi, V., De Munari, I., “HDL Code Generation from SIMULINK Environment for Li-Ion Cells State of Charge and Parameter Estimation”, (2021) Lecture Notes in Electrical Engineering, 738, pp. 136-143.
- Bianchi, V., De Munari, I., “A modular Vedic multiplier architecture for model-based design and deployment on FPGA platforms”, (2020) Microprocessors and Microsystems, 76, art. no. 103106.
- Bianchi, V., Boni, A., Fortunati, S., Giannetto, M., Careri, M., De Munari, I., “A Wi-Fi Cloud-Based Portable Potentiostat for Electrochemical Biosensors”, (2020) IEEE Transactions on Instrumentation and Measurement, 69 (6), art. no. 8762122, pp. 3232-3240.
- Bianchi, V., Mattarozzi, M., Giannetto, M., Boni, A., De Munari, I., Careri, M., “A self-calibrating iot portable electrochemical immunosensor for serum human epididymis protein 4 as a tumor biomarker for ovarian cancer”, (2020) Sensors (Switzerland), 20 (7), art. no. 2016.
- Bassoli, M., Bianchi, V., De Munari, I., “A model‐based design floating‐point accumulator. Case of study: FPGA implementation of a support vector machine kernel function”, (2020) Sensors (Switzerland), 20 (5), art. no. 1362.
- Bianchi, V., Savi, F., De Munari, I., Barater, D., Buticchi, G., Franceschini, G., “Minimization of network induced jitter impact on FPGA-based control systems for power electronics through forward error correction”, (2020) Electronics (Switzerland), 9 (2), art. no. 281.
- Bassoli, M., Bianchi, V., De Munari, I., “A Simulink Model-Based Design of a Floating-Point Pipelined Accumulator with HDL Coder Compatibility for FPGA Implementation”, (2020) Lecture Notes in Electrical Engineering, 627, pp. 163-171.
- Bianchi, V., Bassoli, M., De Munari, I., “Comparison of FPGA and microcontroller implementations of an innovative method for error magnitude evaluation in reed–solomon codes”, (2020) Electronics (Switzerland), 9 (1), art. no. 89.
- Bianchi, V., Bassoli, M., Lombardo, G., Fornacciari, P., Mordonini, M., De Munari, I., “IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment”, (2019) IEEE Internet of Things Journal, 6 (5), art. no. 8727452, pp. 8553-8562.
- Bianchi, V., Ciampolini, P., De Munari, I., “RSSI-Based Indoor Localization and Identification for ZigBee Wireless Sensor Networks in Smart Homes”, (2019) IEEE Transactions on Instrumentation and Measurement, 68 (2), art. no. 8412766, pp. 566-575.
- Giannetto, M., Bianchi, V., Gentili, S., Fortunati, S., De Munari, I., Careri, M., “An integrated IoT-Wi-Fi board for remote data acquisition and sharing from innovative immunosensors. Case of study: Diagnosis of celiac disease”, (2018) Sensors and Actuators B: Chemical, 273, pp. 1395-1403.
- Bassoli, M., Bianchi, V., De Munari, I., “A plug and play IoT Wi-Fi smart home system for human monitoring”, (2018) Electronics (Switzerland), 7 (9), art. no. 200.
- Bassoli, M., Bianchi, V., De Munari, I., Ciampolini, P., “An IoT approach for an AAL Wi-Fi-based monitoring system”, (2017) IEEE Transactions on Instrumentation and Measurement, 66 (12), art. no. 8057592, pp. 3200-3209.
Pubblicato Martedì, 22 Marzo, 2022 - 09:14 | ultima modifica Martedì, 22 Marzo, 2022 - 10:15