Weighted mixed-norm minimization based joint compressed sensing recovery of multi-channel electrocardiogram signals

2016 ◽  
Vol 53 ◽  
pp. 203-218 ◽  
Author(s):  
Anurag Singh ◽  
S. Dandapat
Keyword(s):  
Compressed Sensing ◽  
Mixed Norm ◽  
Electrocardiogram Signals ◽  
Norm Minimization

Compressed sensing MRI by integrating deep denoiser and weighted Schatten p-norm minimization

2021 ◽  
pp. 1-1
Author(s):  
Xiaomei Yang ◽  
Yubo Mei ◽  
Xunyong Hu ◽  
Ruiseng Luo ◽  
Kai Liu
Keyword(s):  
Compressed Sensing ◽  
Norm Minimization

scholarly journals Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986488 ◽  
Author(s):  
Junxin Chen ◽  
Jiazhu Xing ◽  
Leo Yu Zhang ◽  
Lin Qi
Keyword(s):  
Compressed Sensing ◽  
Sensor Network ◽  
Low Cost ◽  
Reconstruction Algorithm ◽  
Signal Acquisition ◽  
Reconstruction Algorithms ◽  
Practical Applications ◽  
Body Sensor Network ◽  
The Past ◽  
Electrocardiogram Signals

In the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous sampling and compression of electrocardiogram signals in the wireless body sensor network. This article presents a comprehensive analysis of compressed sensing for electrocardiogram acquisition. The performances of involved important factors, such as wavelet basis, overcomplete dictionaries, and the reconstruction algorithms, are comparatively illustrated, with the purpose to give data reference for practical applications. Drawn from a bulk of comparative experiments, the potential of compressed sensing in electrocardiogram acquisition is evaluated in different compression levels, while preferred sparsifying basis and reconstruction algorithm are also suggested. Relative perspectives and discussions are also given.

Effective zero-norm minimization algorithms for noisy compressed sensing

2020 ◽  
Vol 357 (11) ◽  
pp. 7159-7187
Author(s):  
Shu-Mei Guo ◽  
Chen-Kai Huang ◽  
Tzu-Jui Huang ◽  
Jason Sheng-Hong Tsai ◽  
Leang-San Shieh ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Norm Minimization ◽  
Minimization Algorithms ◽  
Zero Norm
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