Epileptic seizures present a serious danger to the lives of their victims, rendering them unconscious, lacking control, and may even result in death only a few seconds after onset. This gives rise to a crucial need for an effective seizure detection method that is fast, accurate, and has the potential for mass market adoption. Kriging methods have a good reputation for high accuracy in spatial prediction, hence, their extensive use in geostatistics. This paper demonstrates the successful application of Kriging methods for an effective seizure detection device in an edge computing environment by modeling the brain as a spatial panorama. We hereby propose a novel wearable for real-time automated seizure detection from EEG signals using three different types of Kriging, namely, Simple Kriging, Ordinary Kriging and Universal Kriging. After multiple experiments with electroencephalogram (EEG) signals obtained from seizure patients as well as those from their healthy counterparts, the results reveal that the three Kriging methods performed very well in accuracy, sensitivity and latency of detection. It was found however, that Simple Kriging outperforms the other Kriging methods with a mean seizure detection latency of 0.81 sec, a perfect specificity, an accuracy of 97.50% and a sensitivity of 94.74%. The results in this paper compare well with other seizure detection models in the literature but their excellent seizure detection latency surpasses the performance of most existing works in seizure detection.

中文翻译：

---

EZcap：一种可穿戴式设备，可从EEG信号进行实时自动癫痫发作检测

癫痫发作对受害者的生命构成严重威胁，使他们失去知觉，缺乏控制，甚至可能在发病后几秒钟内导致死亡。因此，迫切需要一种有效，快速，准确的癫痫发作检测方法，并有可能被大众市场采用。克里金法因其在空间预测中的高精度而享有盛誉，因此在地统计学中得到了广泛的应用。本文通过将大脑建模为空间全景图，证明了Kriging方法在边缘计算环境中的有效癫痫发作检测设备中的成功应用。我们在此提出一种新颖的可穿戴设备，该设备可使用三种不同类型的Kriging（即简单Kriging，普通Kriging和通用Kriging）从EEG信号进行实时自动癫痫发作检测。在对癫痫病患者及其健康同伴获得的脑电图（EEG）信号进行多次实验后，结果显示这三种Kriging方法在准确性，敏感性和检测潜伏期方面表现非常出色。但是，发现简单克立格胜过其他克立格方法，其平均癫痫发作检测潜伏期为0.81秒，完美的特异性，准确度为97.50％，灵敏度为94.74％。本文的结果与文献中的其他癫痫发作检测模型比较好，但是它们出色的癫痫发作检测潜伏期超过了大多数现有的癫痫发作检测工作的性能。结果表明，三种克里格方法在准确性，灵敏度和检测潜伏期方面都表现出色。但是，发现简单克立格胜过其他克立格方法，其平均癫痫发作检测潜伏期为0.81秒，完美的特异性，准确度为97.50％，灵敏度为94.74％。本文的结果与文献中的其他癫痫发作检测模型比较好，但是它们出色的癫痫发作检测潜伏期超过了大多数现有的癫痫发作检测工作的性能。结果表明，三种克里格方法在准确性，灵敏度和检测潜伏期方面都表现出色。但是，发现简单克立格胜过其他克立格方法，其平均癫痫发作检测潜伏期为0.81秒，完美的特异性，准确度为97.50％，灵敏度为94.74％。本文的结果与文献中的其他癫痫发作检测模型比较好，但是它们出色的癫痫发作检测潜伏期超过了大多数现有的癫痫发作检测工作的性能。