A Dataset Of Neonatal Eeg Recordings With Seizures Annotations

Neonatal seizures are a common emergency in the neonatal intensive care unit (NICU). There are many questions yet to be answered regarding the temporal/spatial characteristics of seizures from different pathologies, response to medication, effects on neurodevelopment and optimal detection. This dataset contains EEG recordings from human neonates and the visual interpretation of the EEG by the human expert. Multi-channel EEG was recorded from 79 term neonates admitted to the neonatal intensive care unit (NICU) at the Helsinki University Hospital. The median recording duration was 74 minutes (IQR: 64 to 96 minutes). EEGs were annotated by three experts for the presence of seizures. An average of 460 seizures were annotated per expert in the dataset, 39 neonates had seizures by consensus and 22 were seizure free by consensus. The dataset can be used as a reference set of neonatal seizures, for the development of automated methods of seizure detection and other EEG analysis, as well as for the analysis of inter-observer agreement.新生儿痫性发作（Neonatal seizures）是新生儿重症监护室（neonatal intensive care unit, NICU）常见的急症。目前针对不同病因所致痫性发作的时空特征、药物应答效果、对神经发育的影响以及最优检测方案，仍有诸多问题亟待解答。本数据集包含人类新生儿的脑电图（electroencephalogram, EEG）记录，以及专业医师对该脑电图的人工视觉判读结果。赫尔辛基大学医院新生儿重症监护室收治的79名足月新生儿接受了多通道脑电图采集，记录时长的中位数为74分钟（四分位距：64至96分钟）。由三位专家对脑电图中痫性发作的有无情况进行标注，本数据集内每位专家平均标注约460次痫性发作；经专家共识判定，39名新生儿存在痫性发作，22名未检出痫性发作。该数据集可作为新生儿痫性发作的参考数据集，用于开发痫性发作自动检测及其他脑电图分析的自动化方法，同时也可用于分析观察者间一致性（inter-observer agreement）。