CAJ | 학술논문

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。
심전신호여뇌전신호재심뇌혈관건강평측방면구유중요이불가체대적위치。림상중발현뇌경새회인발심전신호화뇌전신호동시산생이상현상，연이관우뇌경새시인발적이상뇌전신호화심전신호지간적관계연구심소。통과FP-Growth산법연구，이용소파변환제취신호적특정치，대뇌경새시심전신호화뇌전신호적특정치진행관련분석，결과표명뇌경새시뇌전신호화심전신호존재관련관계，대뇌경새질병적예방급조기치료구유중요적삼고개치。
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.