Harding G W
Department of Neurology and Neurological Surgery (Neurosurgery), Washington University School of Medicine, St. Louis, MO 63110.
Electroencephalogr Clin Neurophysiol. 1993 Jun;86(6):428-37. doi: 10.1016/0013-4694(93)90138-l.
An automated monitoring system has been developed to record from indwelling electrode arrays in patients undergoing evaluation for surgical treatment of intractable seizures. The functional aspects of this system's design are discussed and the range of electrical seizure patterns, other epileptiform events and artifacts that the system must handle are described. The system includes a flowing graphics image of as many as 32 channels of real-time ECoG, automatic seizure detection, recording of the ECoG for up to 6 min prior to seizure onset, and EEG for 792 clinical and subclinical seizures during 1578 h of monitoring with an artifact rate of 28% for all events recorded. However, system performance was judged upon the 86% accuracy for detection and recording of patient-specific seizure patterns (multiple seizures with the same pattern counted as 1) with 1.26 brief spike bursts and 0.67 artifacts/h.
已经开发了一种自动监测系统,用于记录正在接受顽固性癫痫手术治疗评估的患者体内植入电极阵列的数据。讨论了该系统设计的功能方面,并描述了该系统必须处理的癫痫电活动模式、其他癫痫样事件和伪迹的范围。该系统包括多达32通道实时皮层脑电图的动态图形图像、自动癫痫检测、癫痫发作前长达6分钟的皮层脑电图记录,以及在1578小时的监测期间对792次临床和亚临床癫痫发作的脑电图记录,所有记录事件的伪迹率为28%。然而,系统性能是根据检测和记录患者特异性癫痫发作模式(具有相同模式的多次癫痫发作计为1次)的86%准确率来判断的,每小时有1.26次短暂棘波暴发和0.67次伪迹。