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对１５例急性心肌梗塞（ＡＭＩ）、２４例健康成人的２４ｈ动态心电图进行心率变异（ＨＲＶ）的时域、频域和非线性检测。非线性检测包括构成散点图、计算散点图量化指标（ＰＬＯ）以及复杂度（ＣＯＭ）、预测度（ＰＲＥ）、李雅普诺夫指数（ＬＩ）、相关维（ＣＤ）等参数。正常组ＰＬＯ：ＳＤＳ（横座标）＞６５０且ＬＬ（纵座标）＜８０００；ＣＯＭ为１６０～３２０；ＰＲＥ提示正常组ｒ值开始较高，但随预测步数的增加而递减；ＬＩ为１．１２～２．０８；ＣＤ为１．４７～１．５６。结果还显示非线性参数与时域、频域参数间有一定的相关性。非线性参数能较好地反映ＡＭＩ时ＨＲＶ改变的特征及程度，且用于评价ＡＭＩ的预后优于线性参数，这主要缘于非线性参数更符合心动周期复杂的动力学特性。非线性ＨＲＶ检测方法值得在临床研究中作深入探讨。
Time-domain, frequency-domain and non-linear detection of heart rate variability (HRV) were performed in 24 patients with acute myocardial infarction (AMI) and 24 healthy adults. Non-linearity detection includes forming scatterplot, calculating PLO, COM, PRE, LI, CD and other parameters. Normal group PLO: SDS (abscissa)> 650 and LL (ordinate) <8000; COM was 160 ~ 320; PRE suggested that the r value of the normal group began to be higher, but decreased with the increase of the number of steps; LI was 1 .12 ~ 2.08; CD is 1.47 ~ 1.56. The results also show that there is a certain correlation between nonlinear parameters and time domain and frequency domain parameters. The nonlinear parameters can better reflect the characteristics and degree of HRV changes during AMI, and the prognosis of AMI is better than the linear parameters, which is mainly attributed to the fact that the nonlinear parameters are more consistent with the complex dynamics of cardiac cycle. Nonlinear HRV detection methods worth in-depth study in clinical research.