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ECG monitoring systems: Review, architecture, processes, and key challenges
MA Serhani, H T. El Kassabi, H Ismail, A Nujum Navaz - Sensors, 2020 - mdpi.com
Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
Compressed sensing approach for physiological signals: A review
B Lal, R Gravina, F Spagnolo… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
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 …
Semi-supervised stacked label consistent autoencoder for reconstruction and analysis of biomedical signals
A Gogna, A Majumdar, R Ward - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Objective: An autoencoder-based framework that simultaneously reconstruct and classify
biomedical signals is proposed. Previous work has treated reconstruction and classification …
biomedical signals is proposed. Previous work has treated reconstruction and classification …
Efficient ECG compression and QRS detection for e-health applications
Current medical screening and diagnostic procedures have shifted toward recording longer
electrocardiogram (ECG) signals, which have traditionally been processed on personal …
electrocardiogram (ECG) signals, which have traditionally been processed on personal …
A novel Blaschke unwinding adaptive-Fourier-decomposition-based signal compression algorithm with application on ECG signals
This paper presents a novel signal compression algorithm based on the Blaschke
unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly …
unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly …
Improved reconstruction for CS-based ECG acquisition in Internet of Medical Things
J Chen, S Sun, N Bao, Z Zhu… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper presents an improved reconstruction approach for compressed sensing based
ECG acquisition in Internet of Medical Things. The proposed method exploits the concepts of …
ECG acquisition in Internet of Medical Things. The proposed method exploits the concepts of …
Adaptive dictionary reconstruction for compressed sensing of ECG signals
D Craven, B McGinley, L Kilmartin… - IEEE journal of …, 2016 - ieeexplore.ieee.org
This paper proposes a novel adaptive dictionary (AD) reconstruction scheme to improve the
performance of compressed sensing (CS) with electrocardiogram signals (ECG). The …
performance of compressed sensing (CS) with electrocardiogram signals (ECG). The …
CSNet: A deep learning approach for ECG compressed sensing
H Zhang, Z Dong, Z Wang, L Guo, Z Wang - Biomedical Signal Processing …, 2021 - Elsevier
Remote electrocardiogram (ECG) monitoring plays a very important role in the prevention
and treatment of cardiovascular diseases. However, the current long-term ECG monitoring …
and treatment of cardiovascular diseases. However, the current long-term ECG monitoring …
Multilead ECG data compression using SVD in multiresolution domain
S Padhy, LN Sharma, S Dandapat - Biomedical signal processing and …, 2016 - Elsevier
In this paper, multilead electrocardiogram (MECG) data compression using singular value
decomposition in multiresolution domain is proposed. It ensures a high compression ratio by …
decomposition in multiresolution domain is proposed. It ensures a high compression ratio by …
ECG compression using wavelet-based compressed sensing with prior support information
Electrocardiogram (ECG) signal compression is a vital signal processing area, especially
with the growing usage of wireless body sensor networks (WBSN). ECG signals need to be …
with the growing usage of wireless body sensor networks (WBSN). ECG signals need to be …