AI Smart Materials for Enhancing Sucking Ability in Preterm Infants

Abstract

In this study, we aimed to develop a dual-channel pressure-sensing electronic pacifier with AI capabilities to detect sucking difficulties in premature infants, enabling early assessment, individualized care plans, and support for parents, ultimately improving neonatal care and enhancing the quality of life for premature infants. LabVIEW software was used to develop a program that measured the characteristics of pressure sensors before and after using the pacifier, including sucking pressure, intensity, and duration. The research yielded several advantages, including the early assessment of sucking ability, individualized care plans, support for parents, and the promotion of oral development. We found that electronic pacifiers can provide individualized feedback and stimulation, helping to improve sucking skills, strength, and coordination in premature infants. Although there is relatively limited research on electronic pacifiers for sucking intervention, these studies provide some evidence of their effectiveness. With the increasing emphasis on the sucking development of premature infants and the continuous advancement of technology, more research on the application value of electronic pacifiers in sucking intervention can be expected in the future.