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心脏动力系统可能是其内在动力学和外部环境影响的混合体，因此从心率变异信号中确定混沌现象非常困难．本文提出一种优化方法，获得一组由某种动力系统产生的时间序列，并使该序列与原始信号尽可能接近．对动力噪声干扰混沌模型进行了检验后，应用于心率变异信号分析时发现了正的最大Ｌｙａｐｕｎｏｖ 指数
The cardiac dynamic system may be a mixture of its intrinsic dynamics and the external environment, so it is very difficult to determine the chaos from the heart rate variability signal. In this paper, an optimization method is proposed to obtain a set of time series generated by a dynamical system and to make the sequence as close as possible to the original signal. After verifying the chaos model of dynamic noise disturbance, it is found that the positive maximum Lyapunov exponent