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| HAL : hal-00681534, version 1 |
| Fiche détaillée |  Récupérer au format |
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| 10th International Conference on Latent Variable Analysis and Source Separation (LVA/ICA 2012), Tel-Aviv : Israel (2012) |
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| Non parametric modelling of ECG: Applications to denoising and single sensor fetal ECG extraction |
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| Bertrand Rivet 1Mohammad Niknazar 1 |
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| (03/2012) |
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| 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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| 1 : | Grenoble Images Parole Signal Automatique (GIPSA-lab) |
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CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology |
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| ViBS |
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| Domaine | : | Sciences de l'ingénieur/Traitement du signal et de l'image Informatique/Traitement du signal et de l'image |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00681534, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00681534 | |
| oai:hal.archives-ouvertes.fr:hal-00681534 | |
| Contributeur : Bertrand Rivet | |
| Soumis le : Mercredi 21 Mars 2012, 17:00:02 | |
| Dernière modification le : Vendredi 6 Avril 2012, 10:20:58 | |
