È stato recentemente pubblicato sulla rivista internazionale Plos Biology lo studio di John Ioannidis della Stanford University, di Kevin Boyack e Jeroen Baas, che raccoglie il 2% dei ricercatori più citati al mondo. Si tratta di uno studio di bibliometria che analizza l’impatto e la distribuzione di pubblicazioni scientifiche all’interno della comunità accademica.

Lo studio si basa sui dati ricavati a maggio 2020 dal database per la ricerca scientifica Scopus, dati poi aggiornati con gli indicatori di citazioni standardizzate per l’anno 2019, mettendo a confronto la produzione scientifica di circa 8 milioni di ricercatori di università e centri di ricerca di tutto il mondo, in 22 campi scientifici e 176 sottocampi.

Per ogni ricercatore viene indicato il settore in cui è attivo e il ranking corrispondente, differenziato tra ranking che includono i riferimenti di auto-citazioni e quelli che non li includono.

Nell’elenco elaborato dall’Università di Stanford figurano 9 ricercatori dell’Università del Sannio. I ‘Top Scientists’, così definiti dalla rivista Plos Biology, sono: Gerardo Canfora (Software Engineering); Giuseppe Graziano (Chemical Physics); Massimiliano Di Penta (Software Engineering); Fernando Goglia (Biochemistry and Molecular Biology); Andrea Cusano (Optoelectronics & Photonics); Pasquale Daponte (Electrical & Electronic Engineering); Antonello Cutolo (Optoelectronics & Photonics) Maria Rosaria Pecce (Civil Engineering); Sergio Rapuano (Electrical & Electronic Engineering).

LEGGI L'ARTICOLO SU NTR24

WEBINAR

Sampling methods for physiological signals in Internet of Medical Things systems

April 21 @ 2:00 pm - 5:00 pm CEST

Abstract:
Wearable measurement systems have been currently spreading as personal devices for monitoring physiological parameters. In last years, such systems are going to be integrated in Internet of Things (IoT) systems where several acquisition nodes are simultaneously connected and managed. The acquisition nodes must comply the size and energy consumption requirements of wearable devices, while allowing the streaming of sampled signals such as the Electrocardiogram and the respiration wave and providing enough accuracy to guarantee the biosignal integrity. This is even harder when the device is connected to Wide Area Network IoT systems, characterized by a lower bandwidth and a higher power consumption. To face these problems, efficient sampling strategies can be adopted aiming to reduce the data rate to be transmitted and as a consequence the energy consumption. The seminar will present the state of art of sampling methods for physiological signals and will in particular deal with methods based on compressed sensing. Compared with the others, such methods offer a lower computational load on the acquisition node, by moving it to the reception side, which in the case of IoT systems, is usually realized in the cloud.

Biography:
Luca De Vito received the master’s (cum laude) degree in software engineering and the Ph.D. degree in information engineering from the University of Sannio, Benevento, Italy, in 2001 and 2005, respectively. In 2002 he joined the Laboratory of Signal Processing and Measurement Information, University of Sannio, where he was involved in research activities. In 2008, he joined the Department of Engineering, University of Sannio, as an Assistant Professor in electric and electronic measurement. He became Associate Professor in the same Department in Jan. 2020. In Aug. 2018 he received the National Academic Qualification as Full Professor. He is member of the IEEE since 2010, he is member of the IEEE Instrumentation and Measurement Society (IMS), of the IEEE Aerospace and Electronic System Society, and of the IEEE Standards Association. He is Senior Member of the IEEE since 2012. He member of the Armed Force Communication and Electronics Association (AFCEA) and is Young President of the AFCEA Naples Chapter. He is editor of Measurement and Measurement:Sensors (Elsevier) and Chapter Chair Liaison of the IEEE IMS. He was Technical Program Co-chair of the IEEE International Symposium on Medical Measurements and Applications (MeMeA) in 2015, 2016 and 2017.
He published more than 140 papers on international journals and conference proceedings, mainly dealing with measurements for the telecommunications, data converter testing and biomedical instrumentation.