Event synchronization: A simple and fast method to measure synchronicity and time delay patterns
Event synchronization: A simple and fast method to measure synchronicity and time delay patterns
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DOI：
10.1103/physreve.66.041904
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发表时间：
2002-10-01
影响因子：
2.4
通讯作者：
Grassberger, P
中科院分区：
文献类型：
--
作者：
Quiroga, RQ;Kreuz, T;Grassberger, P
我们提出了一种简单的方法来测量信号之间的同步和时间延迟模式。它基于时间序列中事件的相对时序，例如，作为局部极大值。同步的程度是从事件的准同时出现的次数获得的，而延迟是从一个信号中的事件相对于另一个信号的优先级计算的。此外，我们可以很容易地可视化的延迟和同步水平的时间演化具有良好的分辨率。我们将该算法应用于短大鼠脑电（EEG）信号，其中一些包含尖峰。我们还将其应用到颅内人类脑电图记录包含癫痫发作，我们建议，该方法可能是有用的癫痫灶的检测。它可以很容易地扩展到其他类型的数据，它是非常简单和快速，因此适合在线实现。
We propose a simple method to measure synchronization and time-delay patterns between signals. It is based on the relative timings of events in the time series, defined, e.g., as local maxima. The degree of synchronization is obtained from the number of quasisimultaneous appearances of events, and the delay is calculated from the precedence of events in one signal with respect to the other. Moreover, we can easily visualize the time evolution of the delay and synchronization level with an excellent resolution. We apply the algorithm to short rat electroencephalogram (EEG) signals, some of them containing spikes. We also apply it to an intracranial human EEG recording containing an epileptic seizure, and we propose that the method might be useful for the detection of epileptic foci. It can be easily extended to other types of data and it is very simple and fast, thus being suitable for on-line implementations.