Compressed sensing approach for physiological signals: A review
The immense progress in physiological signal acquisition and processing in health
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare
The next generation healthcare systems will be based on the cloud connected wireless
biomedical wearables. The key performance indicators of such systems are the …
biomedical wearables. The key performance indicators of such systems are the …
Federated compressed learning edge computing framework with ensuring data privacy for PM2. 5 prediction in smart city sensing applications
The sparse data in PM2. 5 air quality monitoring systems is frequently happened on large-
scale smart city sensing applications, which is collected via massive sensors. Moreover, it …
scale smart city sensing applications, which is collected via massive sensors. Moreover, it …
A tutorial on tomographic synthetic aperture radar methods
SA Khoshnevis, S Ghorshi - SN Applied Sciences, 2020 - Springer
Abstract Synthetic Aperture Radar (SAR) is a type of radar that is mounted on an airborne
platform and aims to increase the resolution of the acquisitions by traveling over the target …
platform and aims to increase the resolution of the acquisitions by traveling over the target …
A novel compressive sampling method for ECG wearable measurement systems
The paper presents a novel method for the compressed acquisition of electrocardiographic
(ECG) signals. The proposed method is intended to be applied to Internet-of-Medical-Things …
(ECG) signals. The proposed method is intended to be applied to Internet-of-Medical-Things …
ECG signal denoising and reconstruction based on basis pursuit
R Liu, M Shu, C Chen - Applied Sciences, 2021 - mdpi.com
The electrocardiogram (ECG) is widely used for the diagnosis of heart diseases. However,
ECG signals are easily contaminated by different noises. This paper presents efficient …
ECG signals are easily contaminated by different noises. This paper presents efficient …
Quality guaranteed ECG signal compression using tunable-Q wavelet transform and Möbius transform-based AFD
S Banerjee, GK Singh - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Long-term electrocardiogram (ECG) signal monitoring necessitates a large amount of
memory space for storage, which affects the transmission channel efficiency during real-time …
memory space for storage, which affects the transmission channel efficiency during real-time …
A temporal Convolutional Network for EMG compressed sensing reconstruction
Electromyography (EMG) plays a vital role in detecting medical abnormalities and analyzing
the biomechanics of human or animal movements. However, long-term EMG signal …
the biomechanics of human or animal movements. However, long-term EMG signal …
Image parallel block compressive sensing scheme using DFT measurement matrix
Z Wang, Y Jiang, S Chen - Multimedia Tools and Applications, 2023 - Springer
Compressive sensing (CS)-based image coding has been widely studied in the field of
image processing. However, the CS-based image encoder has a significant gap in image …
image processing. However, the CS-based image encoder has a significant gap in image …
ECG Monitoring Based on Dynamic Compressed Sensing of multi-lead signals
This paper presents an innovative method for multiple lead electrocardiogram (ECG)
monitoring based on Compressed Sensing (CS). The proposed method extends to multiple …
monitoring based on Compressed Sensing (CS). The proposed method extends to multiple …