Information‐enhanced sparse binary matrix in compressed sensing for ECG
Author:
Affiliation:
1. School of Instrument Science and EngineeringSoutheast UniversitySipailou, 2Nanjing210096People's Republic of China
2. Institute for Medical Science and TechnologyUniversity of DundeeDundeeDD2 1FDScotland
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2014.1749
Reference9 articles.
1. Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes
2. Compressed Sensing System Considerations for ECG and EMG Wireless Biosensors
3. Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware
4. Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning
5. A mathematical theory of communication
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