Measuring Kolmogorov entropy of EEG for studying the state of mental fatigue
Chinese Journal of Biomedical Engineering
Saved in:
Main Authors: | Zhang, L.-Y., Zheng, C.-X., Li, X.-P., Shen, K.-Q. |
---|---|
Other Authors: | MECHANICAL ENGINEERING |
Format: | Article |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/60697 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Driving Fatigue Classification Based on Fusion Entropy Analysis Combining EOG and EEG
by: Wang, H., et al.
Published: (2021) -
A feature selection method for multilevel mental fatigue EEG classification
by: Shen, K.-Q., et al.
Published: (2011) -
Entropies for detection of epilepsy in EEG
by: Kannathal, N., et al.
Published: (2014) -
Physiological mental fatigue analysis based on multichannel electroencephalogram features
by: Zhang, C., et al.
Published: (2014) -
EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate
by: Shen, K.-Q., et al.
Published: (2011)