基于脑电信号样本熵的急性脑梗死患者溶栓效果评价

目的:通过研究急性脑梗死患者溶栓治疗前后的脑电信号特征，探讨样本熵算法在急性脑梗死溶栓治疗监测中的应用。方法:采用频谱和样本熵分析76例急性脑梗死患者在溶栓前和溶栓治疗后24 h的EEG数据。分析溶栓治疗前后的变化规律。结果:溶栓治疗有效的患者，Delta与Alpha频段的能量在溶栓治疗前后差异具有统计学意义（P<0.05）；同时，溶栓前后，溶栓有效患者的Delta频段的样本熵在溶栓治疗前后的差异有统计学意义（P<0.001）。结论:Delta频段和Alpha频段的能量，以及样本熵可用于急性脑梗死溶栓治疗效果的监测评估。 【关键词】急性脑梗死；血栓溶解疗法；脑电图；频谱；样本熵

Evaluation of thrombolysis in patients with acute cerebral infarction based on EEG sample entropy

Abstract: Objective To explore the application of sample entropy algorithm in the monitoring of thrombolytic therapy for patients with acute cerebral infarction by studying the electroencephalogram (EEG) signal characteristics before and after thrombolytic therapy. Methods Frequency spectrum and sample entropy were used to analyze the EEG data of 76 patients with acute cerebral infarction before thrombolysis and 24 h after thrombolysis, and the changes before and after thrombolytic therapy were analyzed. Results In patients who responded to thrombolytic therapy, the energies of Delta and Alpha bands after thrombolytic therapy were significantly different from those before thrombolytic therapy (P<0.05), and the difference in the sample entropy of Delta band before and after thrombolytic therapy was also statistically significant (P<0.001). Conclusion The energies of Delta and Alpha bands as well as sample entropy can be used to monitor and evaluate the therapeutic effect of thrombolytic therapy for acute cerebral infarction.