基于样本熵的房颤规整性特征提取研究
黄忠朝1，谢启应2
基金项目：高等学校博士学科点专项科研基金（200805331085）
作者简介：黄忠朝，(1976-），男，博士学位，副教授。主要研究方向为：生物医学信号与图像处理、模式识别、心电与心律失常分析、生物离子通道建模与分析.
（1. 中南大学地球科学与信息物理学院，长沙 410083；2. 中南大学湘雅医学院心血管内科，长沙 410008）
摘要：房颤 (Atrial Fibrillation, AF) 是一种复杂的心律失常疾病，由于缺乏对其特征进行进行有效描绘的定量指标，其治疗效果一直不理想。样本熵是一种度量序列复杂性和统计量化的非线性动力学参数，在分析很多生理时间序列时取得了很好的效果。本文基于样本熵的基本物理原理，并把其引入到AF 信号的分析中，以实现对房颤时心房电信号的规整性水平或程度进行准确刻画与描绘。对阵发性房颤进行预测的实验结果表明，从主心房活动波得到的样本熵是一个有效的衡量房颤时心房内部电生理特征的非线性指标，为临床提供了有益的量化特征指引，对促进房颤特征机制的理解和改善临床治疗效率具有重要的意义。
关键词：生物医学工程；房颤；样本熵；主心房活动波；阵发性房颤
中图分类号：R138.04
Charaterization of Organization About Aatrial Fibrillation Using Sample Entropy
Huang Zhongchao1, Xie Qiying2
(1. school of Geosciences and Info-physics,Central South University, ChangSha 410083;2. Cardiovascular Department,Xiangya Hospital, Central South University, ChangSha 410083)
Abstract: Atrial Fibrillation (AF) is a type of complex atrial arrhythmia. Due to the shortage of quantatative variables which can effectively characterize the AF, the treatment effect is non-ideal until now. Sampel entropy (SaEn) is a kind of nonlinear and statisitical quantatitive dynamic parameter used to measure complex time series, and has been successfully applied to analyze amout of physiological time series. In this paper, based on the basic physical principal of SaEn,the organization level or degree of AF signals is characterized in detail using SaEn. Experiment results, which came from predicting the  pontaneous termination of proxsmal AF, showed that the SaEn by calculating the main atrial activity waves (MAV) is a effective nonlinear variable for measuring the electrophysiological behavior of patients' atria. So, the proposed method provides a quantatative index for clinical AF diagnosis and enables the improvement of AF comprehension and treatment.
Keywords: Biomedical Engineering; Atial Fibrillation; Sample Entropy; Main Atrial Activity Wave; Proxsymal AF