@inproceedings{b91afcb871b141feba2c2d1491f2ad2c,
title = "Multi-scale Lempel-Ziv complexity analysis of brain states",
abstract = "In this paper, multi-scale Lempel-Ziv complexity algorithm was introduced to analyze brain states. The performance of the algorithm was tested using EEG data and compared to conventional complexity algorithm. The coefficient of variation of mean and variance ratio results of the calculated complexities using multi-scale Lemple-Ziv algorithm were lower than using conventional algorithm. By applying this algorithm to EEG data at quiescent state, playing poker game state and playing digital game state, we proved that the algorithm is more capable of extracting the rhythm feature in EEG signals and can distinguish the three states easily.",
keywords = "Brain state, Lempel-Ziv complexity, Multi-scale",
author = "Xiaobi Chen and Guanghua Xu and Min Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 ; Conference date: 19-08-2016 Through 22-08-2016",
year = "2016",
month = oct,
day = "21",
doi = "10.1109/URAI.2016.7734023",
language = "英语",
series = "2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "71--74",
booktitle = "2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016",
}