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目的 采用散点图的面积计算和密度分布评价冠心病稳定性心绞痛患者的心率变异性.方法 提取人选对象的动态心电图原始RR间期数据做为试验组(A组),设置同年龄段的非冠心病人群动态心电数据做为对照组(B组).用Matlab软件构建RR间期的Lorenz-RR散点图,计算两相距100 ms的心率的均等线与散点图头端围成的面积S1,两相距100 ms心率的均等线与散点图围成的最大面积S2及散点图的总面积S;用Matlab软件构筑散点的密度分布图,并划分为高密度区(H),中间密度区(M),低密度区(L),计算各密度区所占的百分比.用上述指标(S1,S2,S,H,M,L)来评价患者的心率变异性.结果 A组S低于B组[(66 983±19 097)ms2 vs (106 140±25 120) ms2,P＜0.05],A组S2低于B组[(7 579±1 705)ms2 vs(9 173±1 453) ms2,P＜0.05];A组的散点图M密度区所占比例(M/H+M+L)低于B组[(10.83±4.84)％ vs (14.76±3.77)％,P＜0.05].结论 结合散点图的密度分布和面积计算对冠心病心绞痛患者的心率变异性具有一定的评估价值.“,”Objective To evaluate the heart rate variability(HRV) via density distribution map and proportion calculation of the Lorenz-RR interval Plot for patients of stable angia pectoris.Methods We obtained the original data of heart rate RR interval from Holter ECGs of qualified patients of stable angia pectoris as test group(group A),and set a control group of the patients without coronary heart disease(CHD) and with same age bracket(Group B).The Lorenz plot of RR interval was constructed with Matlab 2014a,We calculated the regional proportion (S1)of initial part of Lorenz plot surrounded by two isovelocity line with a distance of 100 millisecond,and calculated the maximum regional proportion (S2)of plot surrounded by two isovelocity line with a distance of 100 millisecond,and calculated the total proportion (S)of plot.The density distribution map of the Lorenz plot was constructed and was divided into high density area (H),middle density area (M),and low density area(L),and the percentage of H,M,L was figured out seperately.The HRV with above mentioned indices(H,M,L,S1,S2,S) was assessed.Results Compared with control group,group A had a smaller S [(66 983±19 097)ms2 vs (106 140±25 120)ms2,P＜0.05],and a smaller S2[(7 579±1 705)ms2 vs (9 173±1 453)ms2,P＜0.05];meanwhile,group A had a lower percentage of middle-density area(M/H+M+L)[(10.83±4.84) ％ vs (14.76±3.77) ％,P＜0.05].Conclusion Density distribution map combined with proportion calculation of Lorenz plot could have some value on evaluation for CHD patients' HRV.