Yargholi Elahe', Nasrabadi Ali Motie
School of Biomedical Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran.
J Med Eng Technol. 2013 May;37(4):273-81. doi: 10.3109/03091902.2013.794867. Epub 2013 May 24.
Chaotic features of hypnotic EEG (electroencephalograph), recorded during standard tasks of Waterloo-Stanford Group Scale of hypnotic susceptibility (WSGS), were used to investigate the underlying dynamic of tasks and analyse the effect of hypnotic depth and concentration on EEG signals. Results demonstrate: (1) More efficiency of Higuchi dimension in comparison with Correlation dimension to distinguish subjects from different hypnotizable groups, (2) Channels with significantly different chaotic features among people from various hypnotizability levels in tasks, (3) High level of consistency among discriminating channels of tasks with function of brain's lobes, (4) Most affectability of medium hypnotizable subjects and (5) Rise in fractal dimensions due to increase in hypnosis depth.
在滑铁卢-斯坦福催眠易感性团体量表（WSGS）的标准任务期间记录的催眠脑电图（EEG）的混沌特征，被用于研究任务的潜在动态，并分析催眠深度和专注度对脑电信号的影响。结果表明：（1）与关联维数相比， Higuchi维数在区分不同催眠易感性组别的受试者方面更有效；（2）在任务中，不同催眠易感性水平的人之间具有显著不同混沌特征的通道；（3）具有脑叶功能的任务鉴别通道之间具有高度一致性；（4）中度催眠易感性受试者的影响最大；（5）随着催眠深度的增加，分形维数上升。
