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Spectral Features Of Non-Nutritive Suck Dynamics In Extremely Preterm Infants, Steven M. Barlow, Chunxiao Liao, Jaehoon Lee, Seungman Kim, Jill L. Maron, Dongli Song, Priya Jegatheesan, Balaji Govindaswami, Bernard J. Wilson, Kushal Bhakta, John P. Cleary
Spectral Features Of Non-Nutritive Suck Dynamics In Extremely Preterm Infants, Steven M. Barlow, Chunxiao Liao, Jaehoon Lee, Seungman Kim, Jill L. Maron, Dongli Song, Priya Jegatheesan, Balaji Govindaswami, Bernard J. Wilson, Kushal Bhakta, John P. Cleary
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Background: Non-nutritive suck (NNS) is used to promote ororhythmic patterning and assess oral feeding readiness in preterm infants in the neonatal intensive care unit (NICU). While time domain measures of NNS are available in real time at cribside, our understanding of suck pattern generation in the frequency domain is limited. The aim of this study is to model the development of NNS in the frequency domain using Fourier and machine learning (ML) techniques in extremely preterm infants (EPIs).
Methods: A total of 117 EPIs were randomized to a pulsed or sham orocutaneous intervention during tube feedings 3 times/day …