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Communication Dans Un Congrès Année : 2012

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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Dates et versions

hal-00681534 , version 1 (21-03-2012)

Identifiants

  • HAL Id : hal-00681534 , version 1

Citer

Bertrand Rivet, Mohammad Niknazar, Christian Jutten. Non parametric modelling of ECG: Applications to denoising and single sensor fetal ECG extraction. LVA/ICA 2012 - 10th International Conference on Latent Variable Analysis and Signal Separation, Mar 2012, Tel-Aviv, Israel. pp.470-477. ⟨hal-00681534⟩
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