Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care.
Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care.
复制标题
在重症监护中使用相位同步和跨通道相干幅度，通过最小密度脑电图蒙太奇定量检测癫痫发作。
DOI：
10.1109/embc48229.2022.9871595
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Abdullateef S
中科院分区：
文献类型：
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作者：
Abdullateef S
癫痫发作经常发生在儿科急诊和重症监护中，高达74%的癫痫发作是亚临床癫痫发作，难以检测。癫痫发作检测和治疗的延迟会使危重患者的神经系统结局恶化。使用多通道脑电图（EEG）的金标准癫痫发作检测需要训练有素的临床生理学家应用头皮电极和高度专业的神经学家来解释和识别癫痫发作。在这项研究中，我们提取相位同步和跨通道相干振幅4和8个预先选定的头皮脑电信号。二元分类用于确定信号片段是癫痫发作还是非癫痫发作，并将预测结果与金标准癫痫发作标记进行比较。该算法在40例常规采集的儿科患者EEG队列中的应用显示，使用4通道和8通道时，平均准确率分别为77.2%和76.5%。临床相关性-这项工作证明了使用预定义的4个和8个EEG电极检测癫痫发作的可行性，平均准确率为77%。这意味着第一次癫痫发作检测是可能的使用脑电图蒙太奇，可以很容易地应用在床边独立于专家的输入
Seizures frequently occur in paediatric emergency and critical care, with up to 74% being sub-clinical seizures making detection difficult. Delays in seizure detection and treatment worsen the neurological outcome of critically-ill patients. Gold-standard seizure detections using multi-channels electroencephalograms (EEG) require trained clinical physiologists to apply scalp electrodes and highly specialised neurologists to interpret and identify seizures. In this study, we extracted phase synchrony and cross-channel coherence amplitude across 4 and 8 pre-selected scalp EEG signals. Binary classification is used to determine whether the signal segment is seizure or non-seizure, and the predictions were compared against the gold-standard seizure onset markings. The application of the algorithm on a cohort of forty routinely collected EEGs from paediatric patients showed an average accuracy of 77.2 % and 76.5% using 4 and 8 channels, respectively. Clinical Relevance— This work demonstrates the feasibility of seizure detection with pre-defined 4 and 8 EEG electrodes with an average accuracy of 77%. This means for the first time seizure detection is possible using an EEG montage that can be applied readily at the bedside independent of expert input