From the 2 of 8 linked papers with an AI index.
7 papers · 1 filter
Comparative Study of ECG Denoising Methods for Wearable Applications
Bamrung Tausiesakul, Anna Marcucci, Amin Damrah +3
The paper compares model-based (EMD variants and DWT) and deep learning (SDAE and PINN) methods for denoising upper-arm ECG signals affected by EMG interference in wearable and spa…
From Wireless SNNs to SN P Systems: A Low-Energy Rule-Based Conversion
Pietro Savazzi, Mauro Marchese, Anna Vizziello +1
The paper presents a method to transform trained distributed wireless spiking neural networks into rule‑based Spiking Neural P (SN P) systems, yielding interpretable, human‑readabl…
Experimental Evaluation of Joint Clock Recovery and Equalization for Sub-Terahertz Links
Pietro Savazzi, Anna Vizziello, Sherif Badran +1
This paper proposes and experimentally evaluates a joint clock recovery (CR) and equalization architecture tailored for high-speed sub-terahertz (sub-THz) wireless communication li…
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…
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…
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…