Smart sensors for measurements in biomedical and biotechnological applications


Sarah Sarah Tonello

Sarah Tonello

University of Padova, Italy

Alessandra Alessandra Galli

Alessandra Galli

University of Padova, Italy


Recently, the huge spreading of Internet of things (IoT)-oriented modern technologies is revolutionizing the concept of sensors in the biomedical and biotechnological field. Indeed, thanks to recent technological advancements in prototyping techniques and fabrication processes, biomaterials, transmission protocols and lightweight processing strategies the concept of a sensor as sensing element evolved into the one of smart sensor. The word smart indicates that transducing elements, conditioning electronics, transmission hardware and low-computational processing algorithms can be integrated into a single integrated and miniaturized device. Therefore, smart sensors are becoming an important support not only for measurements in modern healthcare, including diagnostic point of care and monitoring wearable, but also for measurements in advanced agriculture and food safety chain. In this framework, the present special session aims to gather relevant research focusing on smart devices and sensors targeting electrophysiological signals, and bio-chemical elements for applications in the areas of medical or agri-food monitoring.


Sarah Tonello received the M.S. (cum laude) degrees in biomedical engineering from University of Florida and also from the Politecnico di Milano in 2014, as part of the dual degree program Atlantis CRISP, and the Ph.D. degree in Technology for Health from the University of Brescia in 2017. She is currently a researcher with the Department of Information Engineering, University of Padova. Her research interests include printed sensors, electronic devices, and electrochemical sensors.

Alessandra Galli received the B.Sc. and M.Sc. degrees in biomedical engineering from the University of Padova, Padua, Italy, in 2015 and 2017, respectively, and the Ph.D. degree in information and communication technology from the School of Information Engineering, University of Padova, with a dissertation on IoT measurements for long-term monitoring applications, in 2021. From 2019 to 2020, she was a Visiting Research Scholar with the Signal Processing Group, Eindhoven University of Technology, Eindhoven, The Netherlands. Since 2021, she has been a Research Fellow with the Instrumentation and Measurements Group, University of Padova. Her research interests include biomedical signal processin g, compression and anomaly detection, machine learning, and the development of algorithms for wireless body sensor networks.