Paper Info
Title
Energy Analysis of Decoders for Rakeness-Based Compressed Sensing of ECG Signals.
Abstract
In recent years, compressed sensing (CS) has proved to be effective in lowering the power consumption of sensing nodes in biomedical signal processing devices. This is due to the fact the CS is capable of reducing the amount of data to be transmitted to ensure correct reconstruction of the acquired waveforms. Rakeness-based CS has been introduced to further reduce the amount of transmitted data by...
Year
DOI
Venue
2017
10.1109/TBCAS.2017.2740059
IEEE Transactions on Biomedical Circuits and Systems
Keywords
Field
DocType
Decoding,Sensors,Electrocardiography,Biomedical measurement,Logic gates,Compressed sensing,Computer architecture
Mobile computing,Signal processing,Computer science,Electronic engineering,Real-time computing,Default gateway,Energy (signal processing),Microcontroller,Decoding methods,Wireless sensor network,Compressed sensing
Journal
Volume
Issue
ISSN
11
6
1932-4545
Citations 
PageRank 
References 
2
0.37
19
Authors
7
Name
Order
Citations
PageRank
Fabio Pareschi122632.16
Mauro Mangia212520.94
Daniele Bortolotti3757.13
Andrea Bartolini445751.90
Luca Benini5131161188.49
R. Rovatti640244.72
Gianluca Setti747871.19