deep learning 1ecg denoising 1empirical mode decomposition 1energy-efficient edge inference 1interpretability 1sn p systems 1spiking neural networks 1wavelet transform 1wearable monitoring 1wireless sensor networks 1
From the 2 of 3 linked papers with an AI index.
3 papers
eess.SP2026
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…
eess.SP2026
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…
cs.ET2026
A Physics-Based Digital Human Twin for Galvanic-Coupling Wearable Communication Links
Silvia Mura, Chiara Cavigliano, Anna Marcucci +3
This paper presents a systematic characterization of wearable galvanic coupling (GC) channels under narrowband and wideband operation. A physics-consistent digital human twin maps…