Makeyev Oleksandr, Ding Quan, Kay Steven M, Besio Walter G
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5154-7. doi: 10.1109/EMBC.2012.6347154.
As epilepsy affects approximately one percent of the world population, electrical stimulation of the brain has recently shown potential for additive seizure control therapy. Previously, we applied noninvasive transcranial focal stimulation via tripolar concentric ring electrodes on the scalp of rats after inducing seizures with pentylenetetrazole. We developed a system to detect seizures and automatically trigger the stimulation and evaluated the system on the electrographic activity from rats. In this preliminary study we propose and validate a novel seizure onset detection algorithm based on exponentially embedded family. Unlike the previously proposed approach it integrates the data from multiple electrodes allowing an improvement of the detector performance.
由于癫痫影响着全球约1%的人口,脑电刺激最近已显示出在辅助癫痫控制治疗方面的潜力。此前,我们在使用戊四氮诱导大鼠癫痫发作后,通过头皮上的三极同心环电极施加非侵入性经颅聚焦刺激。我们开发了一个系统来检测癫痫发作并自动触发刺激,并根据大鼠的脑电图活动对该系统进行了评估。在这项初步研究中,我们提出并验证了一种基于指数嵌入族的新型癫痫发作起始检测算法。与先前提出的方法不同,它整合了来自多个电极的数据,从而提高了检测器的性能。