Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Beta Wave of Sleep Electroencephalogram Analysis Based on Multiscale Sign Series Entropy

Authors
J.H. Jiang, S.T. Wang, F.Z. Hou, J. Wang, J. Li
Corresponding Author
J.H. Jiang
Available Online July 2015.
DOI
10.2991/aiie-15.2015.108How 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.

Copyright
© 2015, 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/).

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Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.108How to use a DOI?
Copyright
© 2015, 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  - J.H. Jiang
AU  - S.T. Wang
AU  - F.Z. Hou
AU  - J. Wang
AU  - J. Li
PY  - 2015/07
DA  - 2015/07
TI  - Beta Wave of Sleep Electroencephalogram Analysis Based on Multiscale Sign Series Entropy
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 395
EP  - 398
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.108
DO  - 10.2991/aiie-15.2015.108
ID  - Jiang2015/07
ER  -