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URL: https://dx.doi.org/DOI:10.17504/protocols.io.739hqr6

Authors: Damiano Menin, Angela Costabile, Flaviana Tenuta, Harriet Oster, Marco Dondi

Summary: In these two studies, we examined the temporal dynamics of yawning and non-yawn mouth openings in preterm neonates comparable in developmental level to fetuses observed in ultrasound studies (about 31 weeks postmenstrual age, PMA).  In Study 1 we tested the reliability and construct validity of the only quantitative measure for identifying fetal yawns in the literature, by comparing its scores with a more detailed behavioral coding system (The System for Coding Perinatal Behavior, SCPB) adapted from the comprehensive, anatomically based Facial Action Coding System for Infants and Young Children (Baby FACS). In Study 2 we developed and tested a new machine learning system based on support vector machines (SVM) for identifying yawns.

Associated Publications: Menin D, Costabile A, Tenuta F, Oster H, Dondi M, Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs). PLoS ONE 14(12). doi: 10.1371/journal.pone.0226921

Affiliations: University of Ferrara, University of Calabria, University of Calabria, New York University; City University of New York;, University of Ferrara

External URL: https://doi.org/10.1371/journal.pone.0226921

Version: 1

Publication Date: 2019

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