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Amplitude-integrated electroencephalographic (aEEG), a method for continuous long-term monitoring of brain activities, is widely used for clinical needs in monitoring newborns. While the variation in aEEG signals from different individuals causes differences in the data distribution, the task to model and automatically classify aEEG signals across different individuals is challenging. In this paper,...
Cerebral parenchyma segmentation in newborn magnetic resonance (MR) images is crucial for developing computer-aided diagnosis systems in newborn cerebral diseases. However, there is limited number of studies on newborn brain MR image analysis. This study presents a novel method for fully automatically segmenting the cerebral parenchyma region using scale-based fuzzy connected image segmentation and...
Jaundice is one of the most common neonate diseases on the first days of birth, caused by hyperbilirubinaemia of blood; and if it is failed to be controlled, it may lead to kernicterus and probable death, or severe neurotic defeats. The purpose of this study is an investigation on different reasons of neonate jaundice, including physical and environmental reasons. Methodology: Method of this study...
Automatic speech recognition is one of the most revolutionary innovations in telecommunication and speech therapy systems. Vowel classification, especially of children's speech, is a relatively unexplored and challenging dimension of speech recognition and analysis research. In this study, vowel classification of children was investigated for sustained Malay vowels which were produced by Malay children...
The aim of this study was to ascertain the feasibility of using the Elements virtual reality (VR) System for children and determine the construct validity of the assessment mode of the system. These technologies were adapted for use with children, called the Re-Action system, to support motor learning. A mixed-approach design was used. Construct validity was evaluated by contrasting performance on...
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