Fetal Heart Rate Analysis for Automatic Detection of Perinatal Hypoxia Using Normalized Compression Distance and Machine Learning

Accurate identification of Perinatal Hypoxia from visual inspection of Fetal Heart Rate (FHR) has been shown to have limitations. An automated signal processing method for this purpose needs to deal with time series of different lengths, recording interruptions, and poor quality signal conditions. W...

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Detalles Bibliográficos
Autores principales: Barquero-Pérez, Óscar, Santiago-Mozos, Ricardo, Lillo-Castellano, José M., García-Viruete, Beatriz, Goya-Esteban, Rebeca, Caamaño, Antonio J., Rojo-Álvarez, José L., Martín-Caballero, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5329001/
https://www.ncbi.nlm.nih.gov/pubmed/28293198
http://dx.doi.org/10.3389/fphys.2017.00113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5329001/
https://www.ncbi.nlm.nih.gov/pubmed/28293198
http://dx.doi.org/10.3389/fphys.2017.00113

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