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
Link To Document :
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