2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Detrended cross-correlation analysis of epilepsy electroencephalagram singals

Authors
Junchang Zhao, Wanhu Dou, Hongda Ji, Jun Wang
Corresponding Author
Junchang Zhao
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.184How to use a DOI?
Keywords
detrended cross-correlation analysis, epilepsy, electroencephalagram
Abstract
The cross-correlation performance between epilepsy electroencephalogram (EEG) signals reflects the status of epilepsy 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 different physiological and pathological states of epilepsy EEG signals. It were compared the difference of DCCA values between epilepsy patients’ EEG signals and normal subjects’ EEG signals. It was found that the DCCA values of epilepsy patients’ EEG signals increased compared the normal subjects’ EEG signals which can be helpful for medical diagnosis and treatment.
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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
DOI
https://doi.org/10.2991/icsem.2013.184How 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  - Junchang Zhao
AU  - Wanhu Dou
AU  - Hongda Ji
AU  - Jun Wang
PY  - 2013/04
DA  - 2013/04
TI  - Detrended cross-correlation analysis of epilepsy electroencephalagram singals
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icsem.2013.184
DO  - https://doi.org/10.2991/icsem.2013.184
ID  - Zhao2013/04
ER  -