运用非线性动力学方法对癫痫患者与正常人的脑电数据进行分析。研究结果表明,癫痫患者发作期的样本熵值总体上低于正常人,并且癫痫患者在发作时的脑电样本熵值较发作前有明显降低,发作后又回到发前水平。这预示着样本熵可能为癫痫病的临床诊断提供一定的参考。同时通过实验验证,样本熵具有较好的一致性,且只需要较短的数据就能达到分析目的,是分析脑电信号的有利手段。 Nonlinear dynamic method was used to analyze the EEG data of epileptic patients and normal subjects. The results show that the sample entropy of epileptic patients during the attack period is generally lower than normal, and the epileptic patients in the attack of the EEG sample entropy decreased significantly before the onset of attack, and returned to pre-onset levels after the attack. This indicates that the sample entropy may provide a reference for the clinical diagnosis of epilepsy. At the same time, the experimental results show that the entropy of the samples has a good consistency and only needs shorter data to achieve the purpose of analysis, which is a good way to analyze EEG signals.