Seizure detection using the phase-slope index and multichannel ECoG.
Seizure detection using the phase-slope index and multichannel ECoG.
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DOI：
10.1109/tbme.2012.2184796
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发表时间：
2012-04
期刊：
影响因子：
--
通讯作者：
Van Veen B
中科院分区：
文献类型：
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作者：
Rana P;Lipor J;Lee H;van Drongelen W;Kohrman MH;Van Veen B
癫痫发作的检测和分析具有临床和研究意义。我们提出了一种新的癫痫发作检测和分析方案的基础上的相位斜率指数（PSI）的直接影响，适用于多通道皮层脑电图数据。PSI度量识别通道之间的时空相互作用的增加，其清楚地区分癫痫发作与发作间期活动。我们形成了一个通道之间的相互作用的全局度量，并将此度量与阈值进行比较，以检测癫痫发作的存在。阈值是根据最近活动的移动平均值来选择的，以适应患者之间的差异以及每个患者体内随时间的缓慢变化。我们评估了检测性能超过一个具有挑战性的人口的五名患者不同类型的癫痫发作，共使用47次癫痫发作在近258小时的记录数据。使用一个共同的阈值程序，我们表明，我们的方法检测到所有的癫痫发作在四个五个病人的错误检测率小于每小时两个。提出了一种全局度量的变化，以确定哪些通道是每个患者活动的强驱动因素。这些指标是计算效率高，适合于实时应用。
Detection and analysis of epileptic seizures is of clinical and research interest. We propose a novel seizure detection and analysis scheme based on the phase-slope index (PSI) of directed influence applied to multichannel electrocorticogram data. The PSI metric identifies increases in the spatio–temporal interactions between channels that clearly distinguish seizure from interictal activity. We form a global metric of interaction between channels and compare this metric to a threshold to detect the presence of seizures. The threshold is chosen based on a moving average of recent activity to accommodate differences between patients and slow changes within each patient over time. We evaluate detection performance over a challenging population of five patients with different types of epilepsy using a total of 47 seizures in nearly 258 h of recorded data. Using a common threshold procedure, we show that our approach detects all of the seizures in four of the five patients with a false detection rate less than two per hour. A variation on the global metric is proposed to identify which channels are strong drivers of activity in each patient. These metrics are computationally efficient and suitable for real-time application.