脑梗塞时心电信号和脑电信号的相关性分析

心电信号与脑电信号在心脑血管健康评测方面具有重要而不可替代的位置。临床中发现脑梗塞会引发心电信号和脑电信号同时产生异常现象，然而关于脑梗塞时引发的异常脑电信号和心电信号之间的关系研究甚少。通过FP-Growth算法研究，利用小波变换提取信号的特征值，对脑梗塞时心电信号和脑电信号的特征值进行关联分析，结果表明脑梗塞时脑电信号和心电信号存在关联关系，对脑梗塞疾病的预防及早期治疗具有重要的参考价值。

Correlation Analysis of ECG and EEG in Cerebral Infarction

ECG and EEG has an important and irreplaceable position in evaluation of cardiovascular health. The cerebral infarction leading abnormal phenomena of ECG and EEG was found in clinical. However,the research on the relation-ship of abnormal EEG and ECG was unclear when cerebral infarction occurs and remains. The signal feature value of cerebral infarction ECG and EEG was extracted by using wavelet transform, then the relationship of these eigenvalues was analyzed by using FP-Growth algorithm. The results show that ECG and EEG remain an relationship so that pre-venting from cerebral infarction disease.