Non parametric modelling of ECG: Applications to denoising and single sensor fetal ECG extraction
Résumé
In this work, we tackle the problem of fetal electrocardio- gram (ECG) extraction from a single sensor. The proposed method is based on non-parametric modelling of the ECG signal described thanks to its second order statistics. Each assumed source in the mixture is thus modelled as a second order process thanks to its covariance function. This modelling allows to reconstruct each source by maximizing the re- lated posterior distribution. The proposed method is tested on synthetic data to evaluate its performance behavior to denoise ECG. It is then ap- plied on real data to extract fetal ECG from a single maternal abdominal sensor.
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