• DocumentCode
    184595
  • Title

    Wireless monitoring system for oral-feeding evaluation of preterm infants

  • Author

    Chen-An Wang ; Yi-Chien Liao ; Pei-Jung Wu ; Yu-Lin Wang ; Bor-Shing Lin ; Bor-Shyh Lin

  • Author_Institution
    Inst. of Imaging & Biomed. Photonics, Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    264
  • Lastpage
    267
  • Abstract
    Feeding and swallowing disorders are relatively common in early infancy. In Clinical, it shows negative impacts on growth and neurodevelopmental, therefore it has become a high risk of neurodevelopmental delays in preterm infants. Oral feeding that requires suckling, swallowing, and breathing coordination, and it is the most complex sensorimotor process for the newborn infant. Currently, both preterm infant´s oral feeding disorders and severity are dependent on subjective clinical experience. Directly monitoring sucking-swallowing-breathing activities of oral is difficult for preterm infants. In this study, a wireless monitoring system for oral feeding of preterm infants was developed to monitor the events of sucking-swallowing-breathing activities continuously and objectively. Finally, the experimental results show that the proposed system can detect the events of sucking, swallowing, and breathing activities effectively.
  • Keywords
    biomedical telemetry; medical disorders; paediatrics; patient monitoring; pneumodynamics; telemedicine; complex sensorimotor process; feeding disorders; neurodevelopmental delays; oral-feeding evaluation; preterm infants; sucking-swallowing-breathing activity monitoring; swallowing disorders; wireless monitoring system; Biomedical monitoring; Electromyography; Monitoring; Pediatrics; Sensors; Wireless communication; Wireless sensor networks; oral feeding disorder; preterm infants; sucking-swallowing-breathing activities; wireless monitoring system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/BioCAS.2014.6981713
  • Filename
    6981713