Internet of nano-things (iont): A comprehensive review from architecture to security and privacy challenges

A Alabdulatif, NN Thilakarathne, ZK Lawal, KE Fahim… - Sensors, 2023 - mdpi.com
Throughout the course of human history, owing to innovations that shape the future of
mankind, many technologies have been innovated and used towards making people's lives …

Review on compressive sensing algorithms for ECG signal for IoT based deep learning framework

SS Kumar, P Ramachandran - Applied Sciences, 2022 - mdpi.com
Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT)
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …

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 …

Sub-Nyquist sampling of ECG signals based on the extension of variable pulsewidth model

G Huang, Z Yang, W Lu, H Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
To prevent lifestyle diseases, portable heartbeat detection systems by electrocardiograms
(ECGs) for daily life monitoring have attracted attentions. For portable systems, power …

Multiwavelet-based ECG compressed sensing

O Kováč, J Kromka, J Šaliga, A Jusková - Measurement, 2023 - Elsevier
This paper presents a novel Multiwavelet-based hybrid method for compressed sensing
(CS) and reconstruction of ECG signals. The proposed method is patient-agnostic and does …

A study on dictionary selection in compressive sensing for ECG signals compression and classification

M Fira, HN Costin, L Goraș - Biosensors, 2022 - mdpi.com
The paper proposes a comparative analysis of the projection matrices and dictionaries used
for compressive sensing (CS) of electrocardiographic signals (ECG), highlighting the …

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 …

Inter-patient congestive heart failure automatic recognition using attention-based multi-scale convolutional neural network

M Sun, Y Si, W Yang, W Fan, L Zhou - Measurement, 2023 - Elsevier
Accurate classification of congestive heart failure (CHF) is essential to reduce the mortality of
cardiovascular disease. Many existing researches suffer from unsatisfactory performance in …

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 …

A new method for sEMG envelope detection from reduced measurements

G Iadarola, S Meletani, F Di Nardo… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The amount of data to be transmitted from each smart device to the cloud server increases
with the number of sensors, so compressing the acquired biosignals before transmission is …