학술논문

An Automated System for the Analysis of Newborns’ Oral-Motor Behavior
Document Type
Periodical
Source
IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Trans. Neural Syst. Rehabil. Eng. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. 24(12):1294-1303 Dec, 2016
Subject
Bioengineering
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Pediatrics
Noninvasive treatment
Patient monitoring
Feature extraction
Pressure measurement
Motor coordination
neonatal neuromotor behavior
nutritive sucking
technology-aided assessment
Language
ISSN
1534-4320
1558-0210
Abstract
The assessment of oral-motor behavior (OMB) represents one the earliest noninvasive ways to evaluate newborns' well-being and neuromotor behavior. This work aimed at developing a new low-cost, easy-to-use and noninvasive system for a technology-aided assessment of newborns' OMB during bottle feeding. A SUcking MOnitoring Device (SUMOD) was designed and developed to be easily integrated on a typical feeding bottle. A software system was developed to automatically treat and analyze the acquired data: proper algorithms for a fully automatic segmentation and features extraction are proposed and implemented. A set of measures of motor control and coordination are introduced and implemented for the specific application to the OMB analysis. Experimental data were collected on two groups of newborns (healthy versus low birth weight) with the SUMOD in a clinical setting.