Nearest-Neighbor based Wavelet Entropy Rate Measures for Nearest-Neighbor based Wavelet Entropy Rate Measures for Intrapartum Fetal Heart Rate Variability

Jiri Spilka 1 Stéphane Roux 1 Nicolas Garnier 1 Patrice Abry 1 Paulo Gonçalves 2 Muriel Doret 3
1 Phys-ENS - Laboratoire de Physique de l'ENS Lyon
2 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
3 HFME - Hôpital Femme Mère Enfant [CHU - HCL]
Abstract : The interpretation and analysis of intrapartum fetal heart rate (FHR), enabling early detection of fetal acidosis, remains a challenging signal processing task. The ability of entropy rate measures, amongst other tools, to characterize temporal dynamics of FHR variability and to discriminate non-healthy fetuses has already been massively investigated. The present contribution aims first at illustrating that a k-nearest neighbor procedure yields estimates for entropy rates that are robust and well-suited to FHR variability (compared to the more commonly used correlation-integral algorithm). Second, it investigates how entropy rates measured on multiresolution wavelet and approximation coefficients permit to improve classification performance. To that end, a supervised learning procedure is used, that selects the time scales at which entropy rates contribute to discrimination. Significant conclusions are obtained from a high quality scalp electrode database of nearly two thousands subjects collected in a French public university hospital.
Keywords : HRV FECG biomedical Multifractal analysis
Type de document :
Communication dans un congrès
36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2014, Chicago (Illinois), US, United States. pp.2813 - 2816, 2014, 〈10.1109/EMBC.2014.6944208〉
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https://hal.inria.fr/hal-01009295
Contributeur : Paulo Gonçalves <>
Soumis le : mardi 17 juin 2014 - 16:27:57
Dernière modification le : mercredi 31 octobre 2018 - 12:24:20

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ENS-LYON | INRIA | LIP | UGA | INSA-LYON | UNIV-LYON1 | HCL

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Jiri Spilka, Stéphane Roux, Nicolas Garnier, Patrice Abry, Paulo Gonçalves, et al.. Nearest-Neighbor based Wavelet Entropy Rate Measures for Nearest-Neighbor based Wavelet Entropy Rate Measures for Intrapartum Fetal Heart Rate Variability. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Aug 2014, Chicago (Illinois), US, United States. pp.2813 - 2816, 2014, 〈10.1109/EMBC.2014.6944208〉. 〈hal-01009295〉

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