Predicting Feeding Conditions of Premature Infants Through Non-Nutritive Sucking Skills Using a Sensitized Pacifier

Saeed Akbarzadeh*, Tianchan Lyu, Roozbeh Farhoodi, Muhammad Awais, Saadullah Farooq Abbasi, Xian Zhao, Chen Chen, Amara Amara, Yasemin Akay, Metin Akay, Wei Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Due to the lack of enough physical or suck central pattern generator (SCPG) development, premature infants require assistance in improving their sucking skills as one of the first coordinated muscular activities in infants. Hence, we need to quantitatively measure their sucking abilities for future studies on their sucking interventions. Here, we present a new device that can measure both intraoral pressure (IP) and expression pressure (EP) as ororhithmic behavior parameters of non-nutritive sucking skills in infants. Our device is low-cost, easy-to-use, and accurate, which makes it appropriate for extensive studies. To showcase one of the applications of our device, we collected weekly data from 137 premature infants from 29 week-old to 36 week-old. Around half of the infants in our study needed intensive care even after they were 36 week-old. We call them full attainment of oral feeding (FAOF) infants. We then used the Non-nutritive sucking (NNS) features of EP and IP signals of infants recorded by our device to predict FAOF infants’ sucking conditions. We found that our pipeline can predict FAOF infants several weeks before discharge from the hospital. Thus, this application of our device presents a robust and inexpensive alternative to monitor oral feeding ability in premature infants.
Original languageEnglish
Article number9684986
Pages (from-to)2370 - 2378
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Volume69
Issue number7
Early online date19 Jan 2022
DOIs
Publication statusPublished - Jul 2022

Keywords

  • Infant
  • Non nutritive sucking
  • prediction
  • sensitized pacifier

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