User-guided interictal spike detection.
User-guided interictal spike detection.
复制标题
用户引导的发作间期尖峰检测。
DOI：
10.1109/iembs.2008.4649280
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Elsas,Siegward
中科院分区：
文献类型：
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作者：
El-Gohary,Mahmoud;McNames,James;Elsas,Siegward
在癫痫的诊断和治疗中，可能需要长期监测来记录和研究发作间期活动，例如发作间期尖峰。然而，由专家对脑电图进行目视检查过于耗时，研究人员通常采用自动检测方法。我们描述了一种新的脑电图用户引导的发作间期尖峰检测算法，该算法只需要用户注释一些尖峰。我们使用注释构建一个模板来捕获尖峰的相关特征，然后使用均方误差（MSE）测试来检测记录中的所有其他尖峰。检测到的事件按顺序排列，以便用户可以轻松识别真正的峰值及其发生时间。然后将真实的尖峰注释到脑电图信号中，并报告给脑电图专家进行进一步评估。这种设计在手动注释记录所需的大量时间投入和全自动尖峰检测算法无法解释受试者之间的变异性之间提供了折衷方案。由于在长期监测中，当患者经历清醒和睡眠周期时，尖峰形态和空间分布会发生很大变化，因此该检测算法使用多通道多个模板来检测不止一种类型的事件。该算法能够实现平均 96% 的灵敏度和平均 4.8 次误检/小时。
In the diagnosis and treatment of epilepsy, long-term monitoring may be required to document and study interictal activities such as interictal spikes. However, visual inspection of the EEG done by an expert is too time consuming and researchers normally resort to automatic detection methods. We describe a new EEG user-guided interictal spike detection algorithm that only requires the user to annotate a few spikes. We use the annotations to build a template that captures the relevant features of spikes, and then use Mean Squared Error (MSE) test to detect all of the other spikes in the recording. The detected events are rank ordered so that the user can easily identify the true spikes and their time of occurrence. The true spikes are then annotated to the EEG signals and reported to the EEG expert for further evaluation. This design provides a compromise between the enormous time commitments necessary to annotate recordings by hand and the inability of fully-automatic spike detection algorithms to account for the variability between subjects. Because spike morphology and spatial distribution change considerably when patients go through cycles of wake and sleep in long-term monitoring, this detection algorithm uses multichannel multiple templates to detect more than one type of event. The algorithm is able to achieve an average sensitivity of 96% and an average of 4.8 false detections/ hour.