Literature DB >> 28478534

Quantitative Real-Time Assessment for Feeding Skill of Preterm Infants.

Chang-Ting Chen1, Lin-Yu Wang2,3, Yu-Lin Wang4,5, Bor-Shyh Lin6.   

Abstract

Nutritive sucking is the approach of obtaining primary food for newborns within six months. However, completing the precise coordination of sucking-swallowing-respiratory actions under oral feeding is usually difficult for preterm infants and may affect the body and neural development of the premature infant. For this reason, how to obtain the quantitatively physiological information related to oral feeding is useful for physicians making more accurate clinical diagnoses for oral feeding disorders. However, there is still lack of monitoring systems for evaluating the feeding skill of infants quantitatively and objectively. The assessment of the feeding skill or the diagnosis of oral-feeding disorders still depends on the clinical experience of medical staffs. In this study, a novel wireless monitoring system is proposed to evaluate the feeding behavior of infants quantitatively and objectively and analyze the characteristics of these actions under oral feeding. Here, a specific feeding bottle and an optical probe are also designed and successfully applied to non-invasively monitor the sucking and respiratory actions, and a microphone is also applied to monitor the swallowing action. From the experimental results, the sucking and swallowing rate increases and the respiratory rate decreases with the increase of the infant age. Moreover, the duration increases and the interval of sucking-action sequence decreases with the increase of the infant age respectively. The proposed system successfully assesses the feeding behavior of preterm infants and may provide an objective evaluation tool for oral feeding ability and identifying the risk of infant developmental delay in the future.

Entities:  

Keywords:  Feeding skill; Nutritive sucking; Optical probe; Preterm infant; Specific feeding bottle

Mesh:

Year:  2017        PMID: 28478534     DOI: 10.1007/s10916-017-0744-1

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  20 in total

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Authors:  Barbara Medoff-Cooper
Journal:  J Perinat Neonatal Nurs       Date:  2005 Jul-Sep       Impact factor: 1.638

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Authors:  David C Mack; James T Patrie; Paul M Suratt; Robin A Felder; Majd A Alwan
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-01

5.  Acoustic signal classification of breathing movements to virtually aid breath regulation.

Authors:  Ahmad Abushakra; Miad Faezipour
Journal:  IEEE J Biomed Health Inform       Date:  2013-03       Impact factor: 5.772

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Authors:  B Medoff-Cooper; W Ray
Journal:  Image J Nurs Sch       Date:  1995

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Authors:  P H Wolff
Journal:  Pediatrics       Date:  1968-12       Impact factor: 7.124

8.  Development of Novel Non-Contact Electrodes for Mobile Electrocardiogram Monitoring System.

Authors:  Bor-Shyh Lin; Willy Chou; Hsing-Yu Wang; Yan-Jun Huang; Jeng-Shyang Pan
Journal:  IEEE J Transl Eng Health Med       Date:  2013-06-04       Impact factor: 3.316

9.  Irregularities and power law distributions in the breathing pattern in preterm and term infants.

Authors:  U Frey; M Silverman; A L Barabási; B Suki
Journal:  J Appl Physiol (1985)       Date:  1998-09

10.  Development of sucking rhythm in preterm infants.

Authors:  M Hack; M M Estabrook; S S Robertson
Journal:  Early Hum Dev       Date:  1985-07       Impact factor: 2.079

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  1 in total

1.  Wearable Cardiopulmonary Function Evaluation System for Six-Minute Walking Test.

Authors:  Bor-Shing Lin; Ruei-Jie Jhang; Bor-Shyh Lin
Journal:  Sensors (Basel)       Date:  2019-10-26       Impact factor: 3.576

  1 in total

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