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-monitoring (e.g., Wireless Body Sensor Networks, WBSNs), may increase early detection of fetal arrhythmias. In this work, we propose a novel framework, based on Compressive Sensing (CS) theory, for the compression and joint detection/classification of mother and fetal heart beats.

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

DA POIAN, Giulia;BERNARDINI, Riccardo;RINALDO, Roberto
2016-01-01

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-monitoring (e.g., Wireless Body Sensor Networks, WBSNs), may increase early detection of fetal arrhythmias. In this work, 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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1069957
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