Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/60697
Title: Measuring Kolmogorov entropy of EEG for studying the state of mental fatigue
Authors: Zhang, L.-Y.
Zheng, C.-X.
Li, X.-P. 
Shen, K.-Q. 
Keywords: Electroencephalogram (EEG)
Kolmogorov entropy (KE)
Mental fatigue
Prefrontal cortex (FP)
Issue Date: Apr-2007
Source: Zhang, L.-Y.,Zheng, C.-X.,Li, X.-P.,Shen, K.-Q. (2007-04). Measuring Kolmogorov entropy of EEG for studying the state of mental fatigue. Chinese Journal of Biomedical Engineering 26 (2) : 170-176. ScholarBank@NUS Repository.
Abstract: Kolmogorov entropy reflects the chaotic degree of the system. In this paper, the chaotic degree of EEG under different mental fatigue states was measured. Analyzing the relationship between different mental fatigue states and the corresponding Kolmogorov entropy (KE) of EEG, it was shown: (1) the value of KE was strongly correlative with the mental fatigue state; the corresponding value of mean Kolmogorov entropy (KE) for a special mental state fluctuated within the special range; (2) the values of KE decreased with working times prolonged; (3) it is available to differentiate different mental fatigue level objectively according to the value of KE. The method proposed in this paper is expected to provide a new tool for the efforts of evaluating mental fatigue level objectively and the study of effects of mental fatigue on central neural system.
Source Title: Chinese Journal of Biomedical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/60697
ISSN: 02588021
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

64
checked on Dec 15, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.