癫痫是一种慢性神经系统紊乱的疾病 ,发病率约为 0 .5 %～ 2 % ,其中 10 %～ 5 0 %的患者药物治疗无效或不适于进行手术。对这些患者来说 ,不可控制的发作是造成残疾甚至死亡的主要原因。因此 ,研究癫痫发作的预测方法 ,使患者或医生提前采取预防措施 ,减小发作时对病人的伤害是十分有意义的。本文介绍了癫痫发作预测的可行性 ,研究现状、存在的问题以及癫痫预测可能的应用领域 Epilepsy is a chronic neurological disorders, the incidence rate of about 0.5% to 2%, of which 10% to 50% of patients with drug treatment is ineffective or not suitable for surgery. For these patients, uncontrollable attacks are the main cause of disability or even death. Therefore, the study of prediction methods of seizures, so that patients or doctors take preventive measures in advance to reduce the attack on the patient’s injury is very meaningful. This article describes the feasibility of the prediction of epileptic seizures, research status quo, existing problems and possible areas of application of epilepsy prediction