文章摘要

心电散点图分析心率变异性的应用价值

作者: 1方世媚, 2金伟东, 1吴超
1 江南大学附属医院功能科,江苏 无锡 214000
2 江南大学附属医院心内科,江苏 无锡 214000
通讯: 方世媚 Email: 229576014@qq.com
DOI: 10.3978/j.issn.2095-6959.2021.09.009

摘要

目的:探讨心电散点图在心率变异性(heart rate variability,HRV)分析中的作用。方法:将符合条件的104例健康对照者(健康对照组)和185例慢性心力衰竭患者(慢性心力衰竭组)作为研究对象,进行24 h动态心电图检查,采集心电散点图和时域、频域数据,进行统计学分析。结果:健康对照组与慢性心力衰竭组均显示SD1、SD2与时域、频域各项指标均呈现高度正相关。在健康对照组中,80.77%的心电散点图分布图形为棒球拍形,而在慢性心力衰竭组中,95.68%为非棒球拍形。在散点图中,SDNN<50 ms者在呈短棒形的病例中占76.67%,在呈不规则形的病例中占70.83%。散点图图形作为独立判断HRV的定性指标,各项数据显示良好。结论:心电散点图图形能够简便、直观显现HRV,联合时域、频域指标,可以进一步提高诊断的特异性。
关键词: 心电散点图;心率变异性;自主神经功能

Application value of the Lorenz plot in heart rate variability

Authors: 1FANG Shimei, 2JIN Weidong, 1WU Chao
1 Department of Function, Affiliated Hospital of Jiangnan University, Wuxi Jiangsu 214000, China
2 Department of Cardiology, Affiliated Hospital of Jiangnan University, Wuxi Jiangsu 214000, China

CorrespondingAuthor: FANG Shimei Email: 229576014@qq.com

DOI: 10.3978/j.issn.2095-6959.2021.09.009

Abstract

Objective: To explore the value of the Lorenz plot in heart rate variability (HRV) analysis. Methods: A total of 104 healthy controls (a healthy control group) and 185 chronic heart failure patients (a chronic heart failure group) were selected as the subjects of the study. 24 h dynamic electrocardiogram (ECG) examination was performed, and RR Lorenz plot and time domain and frequency domain data were collected for statistical analysis. Results: Both the healthy control group and the chronic heart failure group showed high positive correlation between SD1 and SD2 and all indicators in time and frequency domains. In the healthy control group, 80.77% of the RR Lorenz plot was baseball bat shape, while in the chronic heart failure group, 95.68% was non-baseball bat shape. In SDNN<50ms groups, 76.67% of the cases with short bar shape and 70.83% of the cases with irregular shape were found. The scatterplot was used as an independent qualitative index to judge HRV, and all data showed good. Conclusion: RR Lorenz plot can show the HRV easily and visually. The combination of time domain and frequency domain indexes can further improve the specificity of diagnosis.
Keywords: Lorenz plot; heart rate variability; autonomic nerve function

文章选项