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Separation and Analysis of Fetal-ECG Signals From Compressed Sensed Abdominal ECG Recordings.

Separation and Analysis of Fetal-ECG Signals From Compressed Sensed Abdominal ECG Recordings. Analysis of fetal electrocardiogram (f-ECG) waveforms as well as fetal heart-rate (fHR) evaluation provide important information about the condition of the fetus during pregnancy. A continuous monitoring of f-ECG, for example using the technologies already applied for adults ECG tele-monitor-ing (e.g., Wireless Body Sensor Networks (WBSNs)), may increase early detection of fetal arrhythmias. In this study, we propose a novel framework, based on compressive sensing (CS) theory, for the compression and joint detection/classification of mother and fetal heart beats. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png IEEE transactions on bio-medical engineering Pubmed

Separation and Analysis of Fetal-ECG Signals From Compressed Sensed Abdominal ECG Recordings.

IEEE transactions on bio-medical engineering , Volume 63 (6): -1189 – Jul 13, 2017

Separation and Analysis of Fetal-ECG Signals From Compressed Sensed Abdominal ECG Recordings.


Abstract

Analysis of fetal electrocardiogram (f-ECG) waveforms as well as fetal heart-rate (fHR) evaluation provide important information about the condition of the fetus during pregnancy. A continuous monitoring of f-ECG, for example using the technologies already applied for adults ECG tele-monitor-ing (e.g., Wireless Body Sensor Networks (WBSNs)), may increase early detection of fetal arrhythmias. In this study, we propose a novel framework, based on compressive sensing (CS) theory, for the compression and joint detection/classification of mother and fetal heart beats.

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ISSN
0018-9294
DOI
10.1109/TBME.2015.2493726
pmid
26513775

Abstract

Analysis of fetal electrocardiogram (f-ECG) waveforms as well as fetal heart-rate (fHR) evaluation provide important information about the condition of the fetus during pregnancy. A continuous monitoring of f-ECG, for example using the technologies already applied for adults ECG tele-monitor-ing (e.g., Wireless Body Sensor Networks (WBSNs)), may increase early detection of fetal arrhythmias. In this study, we propose a novel framework, based on compressive sensing (CS) theory, for the compression and joint detection/classification of mother and fetal heart beats.

Journal

IEEE transactions on bio-medical engineeringPubmed

Published: Jul 13, 2017

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