EXPERT SYSTEM DETECTION OF SHARP AND SPIKE WAVES

“脑电图学的主要贡献之一是它的 在癫痫的诊断和临床评价中的应用。 (Ktonas，1987)然而，对视觉过程中使用的规则的描述 EEG数据的检查通常是主观的，可能与 一个接一个的脑电波读取器。计算机自动化是一种 对象化这一过程；然而，以前的算法未能 实现人类使用的许多视觉解释方法， 限制了他们的用处和能力。 建议的研究使用专家PerSyst Waveform解释器 系统外壳专门设计用于模拟视觉感知和 解读波形的人类专家的认知过程。这 将使用技术来增强L阶段开发的SSW探测器 这样系统就可以分析癫痫发作，以及尖峰和尖波 以实时速度。一个由专家小组创建的“黄金标准”尖峰数据库 通过共识标记的专家脑电读取器，将用于验证 算法。 未来，相信这项技术可以增强电流 量化脑电的趋势，这显示出解决广泛问题的希望 临床神经科学中的各种问题，包括学习问题， 衰老和精神分裂症。

"One of the major contributions of electroencephalography has been its application in the diagnosis and clinical evaluation of epilepsy." (Ktonas, 1987) However, descriptions of the rules used during the visual inspection of the EEG data are often subjective and can vary greatly from one EEG reader to the next. Computer automation is a means for objectifying this process; however, previous algorithms have failed to implement many of the visual interpretation methods used by humans, limiting their usefulness and abilities. The proposed research utilizes the PERSYST Waveform Interpreter, an expert system shell designed specifically for modeling the visual perception and cognition processes of human experts who interpret waveforms. This technology will be used to enhance the SSW Detector developed In Phase l so that the system can analyze seizures, as well as spikes and sharp waves at real time speeds. A "gold standard" spike database, created by a panel of expert EEG readers through consensus marking, will be used to validate the algorithm. In the future, it is believed that this technology can enhance the current trend towards quantified EEG, which shows promise for addressing a wide variety of issues in clinical neuroscience, including learning problems, aging, and schizophrenia.