Nearest-Neighbor based Wavelet Entropy Rate Measures for Nearest-Neighbor based Wavelet Entropy Rate Measures for Intrapartum Fetal Heart Rate Variability - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

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

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.
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hal-01009295 , version 1 (17-06-2014)

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Jiri Spilka, Stéphane Roux, Nicolas B. 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, ⟨10.1109/EMBC.2014.6944208⟩. ⟨hal-01009295⟩
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