生物医学工程学杂志

生物医学工程学杂志

三维心电散点图吸引子的析取和识别

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心电散点图可从宏观角度快速诊断长时程心电信号中存在的心律失常,然而由于缺少吸引子(即子图)的析取方法而难以用于自动化诊断,也无法使用量化的吸引子位置及形态等指标研究心律失常的起止规律。本文使用三个相邻 RR 间期构建三维散点图,利用散点位置的同质性统计学特征析取吸引子,并以特征性指标识别吸引子。通过一组频发单源性早搏的 24 小时动态心电图 RR 间期及其标识数据,证实该吸引子析取方法有较高的准确性,吸引子的特征性量化指标可用于自动识别不同联律类型的心律失常,并可高效鉴别房性和室性早搏。三维散点图与二维 RR 间期散点图及差值散点图存在强关联性,其吸引子可以映射二维散点图吸引子。将该方法整合到心电监护或分析系统用于心律失常的智能辅助诊断及心率变异性研究,必有广阔的应用前景。

Lorenz plot (LP) method which gives a global view of long-time electrocardiogram signals, is an efficient simple visualization tool to analyze cardiac arrhythmias, and the morphologies and positions of the extracted attractors may reveal the underlying mechanisms of the onset and termination of arrhythmias. But automatic diagnosis is still impossible because it is lack of the method of extracting attractors by now. We presented here a methodology of attractor extraction and recognition based upon homogeneously statistical properties of the location parameters of scatter points in three dimensional LP (3DLP), which was constructed by three successive RR intervals as X, Y and Z axis in Cartesian coordinate system. Validation experiments were tested in a group of RR-interval time series and tags data with frequent unifocal premature complexes exported from a 24-hour Holter system. The results showed that this method had excellent effective not only on extraction of attractors, but also on automatic recognition of attractors by the location parameters such as the azimuth of the points peak frequency (APF) of eccentric attractors once stereographic projection of 3DLP along the space diagonal. Besides, APF was still a powerful index of differential diagnosis of atrial and ventricular extrasystole. Additional experiments proved that this method was also available on several other arrhythmias. Moreover, there were extremely relevant relationships between 3DLP and two dimensional LPs which indicate any conventional achievement of LPs could be implanted into 3DLP. It would have a broad application prospect to integrate this method into conventional long-time electrocardiogram monitoring and analysis system.

关键词: Lorenz 散点图; 三维; 吸引子; 自动识别; 心律失常; 心率变异性; 动态心电图

Key words: Lorenz plot; three dimensional; attractor; automatic recognition; arrhythmias; heart rate variability; ambulatory electrocardiogram

引用本文: 胡敏, 江成璠, 王素霞. 三维心电散点图吸引子的析取和识别. 生物医学工程学杂志, 2018, 35(1): 25-30. doi: 10.7507/1001-5515.201607048 复制

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