Compressed sensing of skin conductance level for IoT-based wearable sensors

G Iadarola, A Poli, S Spinsante - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the context of physiological monitoring applications, wearable sensor platforms usually
have to sustain long-term acquisitions, necessary to assess correctly the individual health …

On the effects of PRBS non-idealities in signal reconstruction from AICs

G Iadarola, P Daponte, L De Vito… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a sensitivity analysis of the non-idealities introduced by the pseudo-
random binary sequence (PRBS) on two modulation-based architectures of analog-to …

Over the limits of traditional sampling: Advantages and issues of AICs for measurement instrumentation

G Iadarola, P Daponte, L De Vito, S Rapuano - Sensors, 2023 - mdpi.com
Data acquisition systems have shown the need of wideband spectrum monitoring for many
years. This paper describes and discusses a recently proposed architecture aimed at …

A support for signal compression in living environments: the Analog-to-Information Converter

G Iadarola, S Spinsante, L De Vito… - … on Metrology for …, 2022 - ieeexplore.ieee.org
In smart living environments many sensors are employed to improve the quality of daily life,
collecting a variety of heterogeneous signals, characterized by different features. In order to …

An Overview on Current Technologies for Assisted Living

G Iadarola, C Scoccia, S Spinsante… - … on Metrology for …, 2024 - ieeexplore.ieee.org
The paper presents an overview on the main technologies recurring in assisted living.
Specifically, the attention is focused on Compressed Sensing architectures adopted to …

An Internet of Things-based Solution for Monitoring Freight Train Carriages

RSL Moriello, E Caputo, F Gargiulo… - … on Metrology for …, 2024 - ieeexplore.ieee.org
The advancement of faster and more efficient railway vehicles necessitates robust onboard
fault detection systems to enhance railway assets. Real-time condition monitoring is pivotal …

[HTML][HTML] A method for LFM signal parameter estimation based on MWC system and STFT-DPT

S Meng, C Meng, C Wang - AIP Advances, 2023 - pubs.aip.org
A method of estimating linear frequency modulation (LFM) signal parameters using
compressed sampling (CS) data of a Modulated Wideband Converter (MWC) system is …

Estimation of LFM signal parameters using RD compressed sampling and the DFRFT dictionary

S Meng, C Meng, C Wang - EURASIP Journal on Advances in Signal …, 2023 - Springer
In this paper, a method combining random demodulator (RD) and discrete fractional Fourier
transform (DFRFT) dictionary is suggested to directly estimate the parameters of linear …

CS-based decomposition of acoustic stimuli-driven GSR peaks sensed by an IoT-enabled wearable device

F Casaccia, G Iadarola, A Poli, S Spinsante - EAI International Conference …, 2021 - Springer
Abstract The Galvanic Skin Response (GSR) signal, measured as the electrical conductance
between a pair of electrodes placed over a person's skin, consists of a tonic component …

Parameter Estimation of LFM Signal Based on RD Compressed Sampling and DFRFT Dictionary

S Meng, C Meng, C Wang - 2022 - researchsquare.com
In order to estimate the parameters of linear frequency modulation (LFM) signals directly
from compressed sampled data, a method combining random demodulator (RD) and …