Compressed Sensing Approach for Physiological Signals: A Review
Author:
Affiliation:
1. Department of Informatics, Modeling, Electronic and Systems Engineering (DIMES), University of Calabria, Rende, Italy
Funder
Italian MIUR through the PRIN 2020 Project “COMMON-WEARS”
European Community's Horizon Europe Programme through the MLSysOps Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10068826/10043806.pdf?arnumber=10043806
Reference135 articles.
1. Spatio-temporal compressed sensing for real-time wireless EEG monitoring
2. On-Chip Neural Data Compression Based On Compressed Sensing With Sparse Sensing Matrices
3. Compressed Sensing Framework Applying Independent Component Analysis after Undersampling for Reconstructing Electroencephalogram Signals
4. Compressive sensing of multichannel EEG signals via lqnorm and schatten-p norm regularization;zhu;Math Problems Eng,2016
5. A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network
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