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癫痫预测方法的分析与研究
Analysis and Research on Epileptic Prediction
【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。
【Abstract】 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. It is shown that epileptic seizure is predictable from many evidence.
【基金】 国家自然科学基金项目(60075019)资助
- 【文献出处】 医学与哲学(临床决策论坛版) ,Medicine & Philosophy(Clinical Decision Making Forum Edition) , 编辑部邮箱 ,2006年01期
- 【分类号】R742.1
- 【被引频次】2
- 【下载频次】387