Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Alpha wave of sleep electroencephalogram analysis based on multiscale sign series entropy

Authors
Jianhui Jiang, Shitong Wang, Fengzhen Hou, Jin Li, Jun Wang
Corresponding Author
Jianhui Jiang
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.99How to use a DOI?
Keywords
Sleep Electroencephalogram; multiscale sign series entropy; clinical diagnosis
Abstract
Sleep Electroencephalogram (Sleep EEG) detection and treatment can provide the basis for clinical diagnosis and treatment. According to the non-stationary random character of EEG itself, the paper proposed multiscale sign series entropy (MSSE) method and applied it to the state of sleep EEG analysis. Numerical results showed that, MSSE method can effectively differentiate awake period wave and sleep stage wave even if under the influence of the noise. The results show that the algorithm can aid in clinical diagnosis of sleep EEG.
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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.99How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jianhui Jiang
AU  - Shitong Wang
AU  - Fengzhen Hou
AU  - Jin Li
AU  - Jun Wang
PY  - 2015/04
DA  - 2015/04
TI  - Alpha wave of sleep electroencephalogram analysis based on multiscale sign series entropy
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 501
EP  - 505
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.99
DO  - https://doi.org/10.2991/icmra-15.2015.99
ID  - Jiang2015/04
ER  -