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The Research of ECG Signal Automatic Segmentation Algorithm Based on Fractal Dimension Trajectory

机译:基于分形维轨迹的心电信号自动分割算法研究

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正In this paper a kind of ECG signal automatic segmentation algorithm based on ECG fractal dimension trajectory is put forward.First,the ECG signal will be analyzed,then constructing the fractal dimension trajectory of ECG signal according to the fractal dimension trajectory constructing algorithm,finally,obtaining ECG signal feature points and ECG automatic segmentation will be realized by the feature of ECG signal fractal dimension trajectory and the feature of ECG frequency domain characteristics.Through Matlab simulation of the algorithm,the results showed that by constructing the ECG fractal dimension trajectory enables ECG location of each component displayed clearly and obtains high success rate of sub-ECG,providing a basis to identify the various components of ECG signal accurately.
机译:<正>本文提出了一种基于ECG分形维数轨迹的ECG信号自动分割算法。首先对ECG信号进行分析,然后根据分形维数轨迹构建算法构造ECG信号的分形维数轨迹。最后,将通过心电信号分形维数轨迹的特征和心电频率域特征的特征来实现心电信号特征点的获取和自动分割。通过算法的Matlab仿真,结果表明,通过构造心电分形维数轨迹使心电图各成分的心电图位置清晰显示,并获得较高的亚心电图成功率,为准确识别心电图信号各成分提供了依据。

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