Beta wave of sleep electroencephalogram analysis based on sign series entropy
Authors
Min Zhao, Yuting Li, Lu Yang, Jia-Fei Dai, Jun Wang, Feng-Zhen Hou
Corresponding Author
Min Zhao
Available Online April 2016.
- DOI
- 10.2991/ameii-16.2016.129How to use a DOI?
- Keywords
- sleep EEG, sign series entropy
- Abstract
Sleep and wake EEG have some differences. After studying their brain waves and calculating the sign series entropy, we use the T test for the detection of sleep and wake EEG data to figure out whether they are different. After beta waves being filtered out by the filter, we calculate the entropy of the sign series. The results of T test show that the beta waves in the state of sleep and wake are different.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Min Zhao AU - Yuting Li AU - Lu Yang AU - Jia-Fei Dai AU - Jun Wang AU - Feng-Zhen Hou PY - 2016/04 DA - 2016/04 TI - Beta wave of sleep electroencephalogram analysis based on sign series entropy BT - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016) PB - Atlantis Press SP - 649 EP - 652 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-16.2016.129 DO - 10.2991/ameii-16.2016.129 ID - Zhao2016/04 ER -