most citedChannel Characterization of Implantable Intrabody Communication through Experimental Measurements

5 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

From Wireless SNNs to SN P Systems: A Low-Energy Rule-Based Conversion

Pietro Savazzi, Mauro Marchese, Anna Vizziello +1

Distributed wireless spiking neural networks (DWSNNs) are a promising paradigm for energy-efficient edge inference in resource-constrained environments such as wireless sensor netw…

eess.SP2024★ 5 cited

Channel Characterization of Implantable Intrabody Communication through Experimental Measurements

Kayhan Ate, Anna Marcucci, Pietro Savazzi +3

Intrabody communication (IBC), is a promising technology that can be utilized for data transmission across the human body. In this study, a galvanic coupled (GC)-based IBC channel…

eess.SP2024

A comparative analysis of preamble sequences for Galvanic Coupling Intra-Body Communications

Farzana Kulsoom, Pietro Savazzi, Fabio Dell'Acqua +2

Galvanic coupled-intra-body communication (GC-IBC) is an innovative research area contributing to transform personalized medicine by enabling seamless connectivity and communicatio…

eess.SP2024★ 2 cited

Automatic Voice Classification Of Autistic Subjects

Jessica Vacca, Natascia Brondino, Fabio Dell'Acqua +2

Autism Spectrum Disorders (ASD) describe a heterogeneous set of conditions classified as neurodevelopmental disorders. Although the mechanisms underlying ASD are not yet fully unde…

eess.SP2024★ 1 cited

Mutual Information Analysis of Neuromorphic Coding for Distributed Wireless Spiking Neural Networks

Pietro Savazzi, Anna Vizziello, Fabio Dell'Acqua

Wireless spiking neural networks (WSNNs) allow energy-efficient communications, especially when considering edge intelligence and learning for both terrestrial beyond 5G/6G and spa…