Nonlinear Granger causality and its application in the analysis of epileptic EEG and ECG signal
- 10.2991/icmse-15.2015.320How to use a DOI?
- nolinear Granger causality, epileptic, kernel function
In this paper, a method based on the nolinear Granger causality is used to analyze epilptic EEG and ECG signal. Polynomial kernel function, Gaussian kernel function and sigmoid kernel function are used to map the linear data in low dimensional input space into high dimensional feature space .In this space linear Granger method can be used to analyse the biomedical signals. The results show that the effect of ECG signals to EEG signals is more significant than that of EEG signals to ECG signals and the result by normal subjects is more significant than that of epileptic subjects. This study is helpful for the analysis of epileptic patient's EEG and ECG signal..
- © 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 - Peng Du AU - Jiafei Dai AU - Jin Li AU - Qianli Mal PY - 2015/12 DA - 2015/12 TI - Nonlinear Granger causality and its application in the analysis of epileptic EEG and ECG signal BT - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering PB - Atlantis Press SP - 1773 EP - 1776 SN - 2352-5401 UR - https://doi.org/10.2991/icmse-15.2015.320 DO - 10.2991/icmse-15.2015.320 ID - Du2015/12 ER -