Influence of gestation age on the performance of adaptive systems for fetal ECG extraction

Radana Kahankova, Janusz Jezewski, Jan Nedoma, Michal Jezewski, Marcel Fajkus, Aleksandra Kawala-Janik, He Wen, Radek Martinek

Influence of gestation age on the performance of adaptive systems for fetal ECG extraction

Číslo: 3/2017
Periodikum: Advances in Electrical and Electronic Engineering
DOI: 10.15598/aeee.v15i3.2207

Klíčová slova: ECG extraction; fetal ElectroCardioGram (ECG); gestation age; LMS and RLS algorithms; non-invasive fetal monitoring, Extrakce EKG; fetální ElectroCardioGram (EKG); věk gestace; Algoritmy LMS a RLS; neinvazivní monitorování plodu.

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Anotace: The main aims of this paper are to study the influence of the Gestation Age (GA) on the quality of recorded abdominal ECG (aECG) signals and to evaluate the performance of the LMS and RLS adaptive signal processing algorithms in the extraction of the fetal ECG (fECG) signal component from such signals. This influence is quantified as a function of the Signal-to-Noise Ratio (SNR). Our research shows that these adaptive algorithms with optimized settings can successfully be applied to extract fECG signals from the maternal aECG signals as early as the 30th week of GA, hence addressing a limitation (37 weeks or labor) in commercially available monitoring systems. We demonstrate that before this gestational age, the SNR of the maternal aECG signal is too low for these adaptive algorithms to work effectively and produce satisfactory results.