Internet of nano-things (iont): A comprehensive review from architecture to security and privacy challenges
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 …
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
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 …
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …
Compressed sensing of skin conductance level for IoT-based wearable sensors
In the context of physiological monitoring applications, wearable sensor platforms usually
have to sustain long-term acquisitions, necessary to assess correctly the individual health …
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 …
(ECGs) for daily life monitoring have attracted attentions. For portable systems, power …
Multiwavelet-based ECG compressed sensing
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 …
(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
The paper proposes a comparative analysis of the projection matrices and dictionaries used
for compressive sensing (CS) of electrocardiographic signals (ECG), highlighting the …
for compressive sensing (CS) of electrocardiographic signals (ECG), highlighting the …
Over the limits of traditional sampling: Advantages and issues of AICs for measurement instrumentation
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 …
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
Accurate classification of congestive heart failure (CHF) is essential to reduce the mortality of
cardiovascular disease. Many existing researches suffer from unsatisfactory performance in …
cardiovascular disease. Many existing researches suffer from unsatisfactory performance in …
A support for signal compression in living environments: the Analog-to-Information Converter
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 …
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 …
with the number of sensors, so compressing the acquired biosignals before transmission is …