摘要
癫痫预测目的有两个从技术的层面去理解癫痫发作的机理,并对癫痫发作进行测量和改善,探索引发癫痫发作的周期性及先兆;开发出可靠的“癫痫发作前预警及治疗装置”。癫痫预测的主要研究方法有频域分析方法;时序分析方法;智能系统工程方法;非线性动力学方法。目前,越来越多的研究集中在非线性动力学的方法上,且来自多种方法的很多证据证明癫痫可以预测。
There are two aims in the epileptic prediction-one is to understand the reason why epileptic seizure can happen, then we can measure and improve it; another is to develop some equipment for predicting and treating epileptic. The main approaches for the epileptic prediction are as following: time domain analysis, frequency domain analysis, intelligent system and non-linear dynamics. Recently, more and more research has focused on non - linear dynamic methods, h is shown that epileptic seizure is predietable from many evidence.
出处
《医学与哲学(B)》
2006年第1期37-40,共4页
Medicine & Philosophy(B)
基金
国家自然科学基金项目(60075019)资助
关键词
癫痫预测
癫痫发作
非线性动力学
epileptic prediction
epileptic seizure
non-linear dynamic