Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)

Epilepsy electroencephalagram singals study based on detrended cross-correlation analysis

Authors
Junchang Zhao, Wanhu Dou, Hongda Ji, Jun Wang
Corresponding Author
Junchang Zhao
Available Online March 2013.
DOI
10.2991/icibet.2013.273How to use a DOI?
Abstract

The cross-correlation performance be-tween epilepsy electroencephalogram (EEG) signals reflects the status of epi-lepsy patients which has importance for analyzing long-range correlation of non-stationary signals. For the first time, detrended cross-correlation analysis (DCCA) was applied to analyze the wave of different physiological and pathological states of epilepsy EEG sig-nals. It were compared the difference of DCCA values between epilepsy patients’ EEG signals and normal subjects’ EEG signals. It was found that the DCCA val-ues of epilepsy patients’ EEG signals in-creased compared the normal subjects’ EEG signals which can be helpful for medical diagnosis and treatment.

Copyright
© 2013, 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 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-57-4
ISSN
1951-6851
DOI
10.2991/icibet.2013.273How to use a DOI?
Copyright
© 2013, 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  - Junchang Zhao
AU  - Wanhu Dou
AU  - Hongda Ji
AU  - Jun Wang
PY  - 2013/03
DA  - 2013/03
TI  - Epilepsy electroencephalagram singals study based on detrended cross-correlation analysis
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 1259
EP  - 1262
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.273
DO  - 10.2991/icibet.2013.273
ID  - Zhao2013/03
ER  -