基于时间复杂度的急性冠脉综合征辅助筛查的研究

Detecting Method of Acute Coronary Syndrome Based on Time Complexity

在混沌体系中,采用动力学特征量化指标进行心脏疾病的辅助诊断,具有更为准确和敏感的检测优势。鉴于时间复杂度可从时域上对混沌体系动力学轨迹的复杂程度进行分析,本文采集了16例的健康人和16例的急性冠脉综合征患者的心电动力学数据的时间复杂度进行混沌特性的验证性研究。实验结果表明,急性冠脉综合征患者的心电动力学数据的时间复杂度普遍低于健康人的心电动力学数据的时间复杂度;因此,时间复杂度的量化信息具有用于急性冠脉综合征的检测的价值。

In the chaotic system,the quantitative indicators of dynamic characteristics for the diagnosis of heart disease has a more accurate and sensitive detection advantage.In view of the time complexity which is a kind of complexity indicator in chaotic systems,this paper calculate the time complexity in the cardiodynamicsgram(CDG)data from 16 healthy people and 16 patients with acute coronary syndrome(ACS),in order to verify the chaotic characteristics in ACS patients.The experimental results demonstrate that the time complexity of ACS patients is generally lower than that of healthy people,and the quantitative information of the time complexity has the detection value for ACS patients.