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Energy and Quality Evaluation for Compressive Sensing of Fetal Electrocardiogram Signals.

Authors :
Da Poian G
Brandalise D
Bernardini R
Rinaldo R
Source :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2016 Dec 22; Vol. 17 (1). Date of Electronic Publication: 2016 Dec 22.
Publication Year :
2016

Abstract

This manuscript addresses the problem of non-invasive fetal Electrocardiogram (ECG) signal acquisition with low power/low complexity sensors. A sensor architecture using the Compressive Sensing (CS) paradigm is compared to a standard compression scheme using wavelets in terms of energy consumption vs. reconstruction quality, and, more importantly, vs. performance of fetal heart beat detection in the reconstructed signals. We show in this paper that a CS scheme based on reconstruction with an over-complete dictionary has similar reconstruction quality to one based on wavelet compression. We also consider, as a more important figure of merit, the accuracy of fetal beat detection after reconstruction as a function of the sensor power consumption. Experimental results with an actual implementation in a commercial device show that CS allows significant reduction of energy consumption in the sensor node, and that the detection performance is comparable to that obtained from original signals for compression ratios up to about 75%.<br />Competing Interests: The authors declare no conflict of interest.

Details

Language :
English
ISSN :
1424-8220
Volume :
17
Issue :
1
Database :
MEDLINE
Journal :
Sensors (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
28025510
Full Text :
https://doi.org/10.3390/s17010009