Fetal ECG extraction from a single sensor by a non-parametric modeling

Mohammad Niknazar (1) , Bertrand Rivet (1) , Christian Jutten (1)

1 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing

This study deals with fetal ECG and MCG extraction from a single-channel recording. A recently proposed nonparametric model to describe second-order statistical properties of ECG signal, is simplified in this paper to make it computationally faster and easier to implement. In the proposed method an ECG signal is first decomposed to sub-bands, then each sub-band is modeled separately, so less complex model is re- quired. There is no assumption about shape of ECG signal in the model, and experimental results show its high performance on extraction of fetal cardiac signals.

Mots clés: fetal ECG ex- traction; single sensor extraction; Non-parametric modeling

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Mohammad Niknazar, Bertrand Rivet, Christian Jutten. Fetal ECG extraction from a single sensor by a non-parametric modeling. EUSIPCO 2012 - 20th European Signal Processing Conference, Aug 2012, Bucarest, Romania. pp.949-953. ⟨hal-00734073⟩