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混沌系统在通信系统和类周期弱信号检测中有着广泛应用,但在复杂信号的检测中应用并不多。一种用于检测心电图信号的混沌系统和Simulink模型被给出,实验仿真结果表明通过分析比较几种典型ECG信号通过系统后的输出相图的差异可以对心电图信号进行直观检测。相空间重构结果表明通过对原始心电图信号及其对应的系统输出数据相空间重构得到的混沌特征参数进行分析比较,可以对心电图检测提供理论支持。
Chaotic systems are widely used in the communication system and weak period detection of the quasi-periodic systems, but not many applications in the detection of complex signals. A chaos system and Simulink model for detecting ECG signals are given. Experimental results show that ECG signals can be directly detected by analyzing the differences between the output phase diagrams after several typical ECG signals pass through the system. Phase space reconstruction results show that by analyzing and comparing the chaotic feature parameters reconstructed from original ECG signal and its corresponding system output data, it can provide theoretical support for ECG detection.