Babloyantz A
Université Libre de Bruxelles, Service de Chimie Physique, Brussels, Belgium.
Electroencephalogr Clin Neurophysiol. 1991 May;78(5):402-5. doi: 10.1016/0013-4694(91)90101-9.
Various techniques of non-linear dynamics have been applied with success to EEG data and have provided a new insight into brain dynamics. Among these the 'recurrence plot' is a powerful tool for revealing the presence of drift or periodicities and is easily obtained in the framework of a non-linear dynamical analysis. When this analysis is applied to the EEG recorded from a patient suffering from Creutzfeldt-Jakob disease one observes the presence of slow periodicities of the order of 58 sec. We suggest that the recurrence plots are powerful tools for discovering hidden periodicities of EEG as well as the degree of stationarity of brain activity.
各种非线性动力学技术已成功应用于脑电图（EEG）数据，并为脑动力学提供了新的见解。其中，“递归图”是揭示漂移或周期性存在的有力工具，并且在非线性动力学分析框架内很容易获得。当将此分析应用于克雅氏病患者记录的脑电图时，可以观察到存在约58秒的缓慢周期性。我们认为，递归图是发现脑电图隐藏周期性以及大脑活动平稳程度的有力工具。
