EXPERT SYSTEM DETECTION OF SHARP AND SPIKE WAVES

"脑电图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，在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， 一个接一个的脑电图读取器计算机自动化是一种 客观化这一过程;然而，以前的算法未能 实现了许多人类使用的视觉解释方法， 限制了它们的用途和能力。 拟议的研究利用PERSYST波形解释器，专家 系统外壳专门设计用于模拟视觉感知， 解释波形的人类专家的认知过程。这 技术将用于增强在第一阶段开发的SSW探测器 这样系统就可以分析癫痫发作，以及尖峰和尖波 以真实的时间速度。一个"黄金标准"的尖峰数据库，由一个小组创建， 通过共识标记的专家EEG阅读器，将用于验证 了算法 在未来，相信这项技术可以增强目前 量化EEG的趋势，这表明有希望解决广泛的 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.