Abstract

Info

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

Author(s):: WANG Yaohui1; L?Zhe1; ZHANG Chongyang1; LIANG Zhenhu2; 1. Department of Emergency, First Hospital of Qinhuangdao, Qinhuangdao 066000, China 2. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066000, China

Keywords:: Keywords: acute cerebral infarction thrombolytic therapy electroencephalogram frequency spectrum sample entropy

Abstract:: 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.