In the process of eye tracking , a subject may focus on a point for a longer time, we call it fixation points, theprocess between fixation points is a saccade. Here, we investigate into the correlation between eye-tracking data andEEG(Electroencep
Translation of electroencephalographic (EEG) recordings into control signals for brain-computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likel
无人监督的脑电图伪像检测与纠正
1,2 ， 1 ， 1 ， 3 ， 1 1密歇根州立大学计算机科学系，人类增强与人工智能实验室2密歇根州立大学心理学系感知与注意力实验室的神经影像学3纽约大学阿布扎比计算机人类智能实验室，电气与计算机工程系
论文代码 ，发表在《数字健康前沿》中，有关临床决策中机器学习的特刊。
引用
ARTICLE{Sadiya2020,
author={Sari Saba-Sadiya and Eric Chantland and Taushang Liu and
HIGHLIGHTS: Twelve entropy indices were systematically compared in monitoring depth of anesthesia and detecting burst suppression. Renyi permutation entropy performed best in tracking EEG changes associated with different anesthesia st
