The aim of this paper is to present an alternative way to visualize the output of a neonatal seizure detection algorithm. For this purpose audified neonatal EEG is considered. The EEG is audified with ...

vThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China wDepartment of Women and Children’s Health, School of Life ...

as dietary patterns may not adequately reflect micronutrient intake. Even omnivorous diets, if unbalanced, can result in insufficient nutrient intake, underlying the necessity of targeted nutritional ...

The neonates were admitted within 6 hours of birth to the neonatal intensive care unit because of perinatal asphyxia, and aEEG recording was started immediately. In all, 160 infants were included; 65 ...

新生儿癫痫的快速诊断对预后至关重要，但传统EEG视觉分析存在疲劳误判等问题。本研究提出结合高分辨率SCBD时频分布与注意力机制ResNet-18的深度学习方法，通过空间时频分析实现癫痫通道定位，在赫尔辛基数据集上达到96.8% AUC，较现有方法提升2%，为NICU提供 ...

BABA Center, Children’s Hospital, HUS Medical Imaging Center, Clinical Neurophysiology, University of Helsinki, Helsinki University Hospital and University of Helsinki, Finland ...

This allows the analysis and characterization of the different newborn EEG patterns that are intended to be the first step toward an automatic time-frequency seizure detection and classification. An ...

Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. In this paper, we propose an end-to-end framework ...

Amplitude-integrated EEG has been extensively used in neonatal intensive care in Europe, Asia, Australia, and New Zealand over the last two ... Diseases & Conditions Encephalopathic EEG Patterns ...