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Alma universitas studiorum parmensis A.D. 962 - Università di Parma Alma universitas studiorum parmensis A.D. 962 - Università di Parma
Dipartimento di
Ingegneria e Architettura
Università degli Studi di Parma

Sensors and Embedded Systems Design Lab (EMsensED Lab)

Stampa

Research Description

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.

Recent Research Projects

  • PRIN 2022 Project: “CHIMERA? Is there a CHance that Indexes and Measurements of the energy conversion Efficiency Reveal system Alterations?" (Local Coordinator: Valentina Bianchi)
  • PNRR - M4C2, Investment 3.1: “Fund for the realisation of an integrated system of research and innovation infrastructures”, Action 3.1.1 “Creation of new research infrastructures, strengthening of existing ones and their networking for Scientific Excellence under Horizon Europe - MUR 3264 del 28/12/2021 - funded by the European Union – NextGeneration EU; Title of the Research Programme: Strengthening of the Italian Research Infrastructure for Metrology and Open Access Data in support to the Agrifood (METROFOOD-IT) (Local Coordinator of the OU Computer Science and Electronic Sensor Unit (University of Parma, Department of Engineering and Architecture): Ilaria De Munari)
  • 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

  1. Fortunati, S., Giliberti, C., Giannetto, M., Bertucci, A., Capodaglio, S., Ricciardi, E., Giacomini, P., Bianchi, V., Boni, A., De Munari, I., Corradini, R., Careri, M. “A highly sensitive electrochemical magneto-genosensing assay for the specific detection of a single nucleotide variation in the KRAS oncogene in human plasma”, (2023) Biosensors and Bioelectronics: X, 15, art. no. 100404.
  2. Stighezza, M., Ferrero, R., Bianchi, V., De Munari, I. “Machine learning and impedance spectroscopy for battery state of charge evaluation”, (2023) 2023 IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2023 - Proceedings, pp. 24-29.
  3. Bianchi, V., Stighezza, M., Toscani, A., Chiorboli, G., De Munari, I. “An Improved Method Based on Support Vector Regression with Application Independent Training for State of Charge Estimation”, (2023) IEEE Transactions on Instrumentation and Measurement, 72, art. no. 2524811.
  4. Boni, A., Bianchi, V., Fortunati, S., Giannetto, M., Careri, M., De Munari, I., “A Stand-Alone Portable Potentiostat With Parallel Channels for Smart Electrochemical Analyses”, (2023) IEEE Transactions on Instrumentation and Measurement, 72, art. no. 7500112.
  5. Fortunati, S., Giannetto, M., Giliberti, C., Bolchi, A., Ferrari, D., Locatelli, M., Bianchi, V., Boni, A., De Munari, I., Careri, M., “Smart Immunosensors for Point-of-Care Serological Tests Aimed at Assessing Natural or Vaccine-Induced SARS-CoV-2 Immunity (2022) Sensors, 22 (14), art. no. 5463.
  6. Bianchi, V., Ambrosini, L., Presta, V., Gobbi, G., De Munari, I., “Prediction of Kick Count in Triathletes during Freestyle Swimming Session Using Inertial Sensor Technology”, (2022) Applied Sciences (Switzerland), 12 (13), art. no. 6313.
  7. Fortunati, S., Giliberti, C., Giannetto, M., Bolchi, A., Ferrari, D., Donofrio, G., Bianchi, V., Boni, A., De Munari, I., Careri, M., “Rapid Quantification of SARS-Cov-2 Spike Protein Enhanced with a Machine Learning Technique Integrated in a Smart and Portable Immunosensor”, (2022) Biosensors, 12 (6), art. no. 426,.
  8. Stighezza, M., Bianchi, V., Toscani, A., De Munari, I., “A flexible machine learning based framework for state of charge evaluation”, (2022) 2022 IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2022 - Proceedings, pp. 111-115.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
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