Block sparsity‐based joint compressed sensing recovery of multi‐channel ECG signals-Reference-Cited by-同舟云学术

Block sparsity‐based joint compressed sensing recovery of multi‐channel ECG signals

Published:2017-02-17 Issue:2 Volume:4 Page:50-56
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Singh Anurag¹,Dandapat Samarendra¹

Affiliation:

1. Electro Medical and Speech Technology Laboratory, Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati Guwahati 781039 India

Publisher

Institution of Engineering and Technology (IET)

Subject

Health Information Management,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2016.0049

Reference15 articles.

1. An Introduction To Compressive Sampling

2. Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

3. Polania L.F. Carrillo R.E. Blanco‐Velasco M. et al. : ‘Compressed sensing based method for ECG compression’.2011 IEEE Int. Conf. on Acoustics Speech and Signal Processing (ICASSP) Prague 2011 pp.761–764

4. Mamaghanian H. Ansaloni G. Atienza D. et al. : ‘Power‐efficient joint compressed sensing of multi‐lead ECG signals’.2014 IEEE Int. Conf. on Acoustics Speech and Signal Processing (ICASSP) Florence 2014 pp.4409–4412

5. Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems

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