长序列心电信号最佳复杂度的确定

研究了长序列心电信号的最佳复杂度。先将原始序列符号化 ,再采用 L empel- Ziv算法来计算复杂度 ,探讨影响复杂度的各种因素 ,然后对三组不同信号即正常心电、心绞痛和心肌梗塞信号进行分析。结果表明 ,采用最佳阈值比用平均值为阈值得到的复杂度更能明显地分辨出正常和异常信号 ,原始序列符号化的阈值以及信号长度直接影响序列复杂度 ,因此 ,在实际信号的复杂度测量上 ,应采用最佳阈值和最佳信号长度。

Determination of Optimal Complexity for Long ECG Sequence

In this artical is reported a study on the optimal complexity of the long electrocardiogram(ECG) signal. At first, the original signal sequence was symbolized, then its complexity was calculated by Lempel-Ziv algorithm, and different factors of the complexity were discussed, and three different kinds of ECG signals, i.e., normalcy, angina and myocardial infarction, were studied. The results indicate that the optimal threshold-value to symbolize the original signal and the optimal signal length are two main factors that affect the complexity value, and the optimal complexity value can effectively distinguish normal ECG and patients' ECG.