癫痫是神经系统的常见疾病,具有反复发作和难以治愈的特征。在此介绍癫痫发作预测的可行性、存在的问题以及癫痫预测可能的应用领域。其预测的主要研究方法分为线性动力学方法和非线性动力学方法。癫痫预测目的是对癫痫发作周期进行定量分析,探索癫痫发作的周期变化规律,为癫痫预警装置的研发提供理论依据。 Epilepsy is a common disease of the nervous system, with recurrent and intractable features. This article describes the feasibility of the prediction of seizures, problems and possible areas of application of epilepsy prediction. The main research methods of its prediction are linear dynamic method and nonlinear dynamic method. The purpose of epilepsy prediction is to quantitatively analyze the cycle of epileptic seizures and to explore the regularity of the periodic changes of seizures so as to provide a theoretical basis for the research and development of epileptic early warning devices.