Research on Epileptic EEG Signal Based on Partial Mutual Information and Partial Measure of Conditional Mutual Information from the Mixed Embedding
Suolian Guo, Chengbiao Lu, Yuman Luo, Zhangyang Xia, Jiafei Dai, Jun Wang · 2024
Epilepsy is a common neurological disorder, and a practical approach to analyzing EEG signals in epilepsy is essential for the study of epilepsy. To explore the differences in the coupling relationship between epileptic Electroencephalo-gram(EEG) signals and healthy EEG signals, we analyze the coupling relationship using symbolic partial mutual information and partial measure of conditional mutual information from the mixed embedding(pmime) method. It is shown that the coupling degree of EEG signals in healthy individuals is significantly higher than that of epileptic EEG signals. Symbolized partial mutual information and the pmime method can effectively distinguish between healthy and epileptic EEG signals. This study may be helpful in the diagnosis and treatment of patients with epilepsy in clinical practice.