Analysis of intracranial electroencephalogram records during seizure onset using wavelet transform / 中华神经科杂志

ABSTRACT

Objective To study the wavelet entropy of intracranial electrode recording electroencephalogram (EEG) during the seizure onset,and explore the prospect of applying it for automatic detection of EEG.Methods Twenty-eight seizure events of 9 epilepsy patients whose outcome were Engel class Ⅰ were retrospective analyzed,by comparing the pre-ictal,initial ictal and ictal wavelet energy entropy variations of both seizure onset zone (SOZ) contacts and non-SOZ contacts.Results The wavelet energy entropy of SOZ contacts increased from pre-ictal (0.053 ± 0.047 ) to initial ictal (0.326 ± 0.250),while it declined during the ictal (0.138 ± 0.097,F =30.904,P =0.000).There was no obvious change of the wavelet energy entropy of non-SOZ contacts in different periods.By further applying time-window wavelet entropy to the detection of intracranial EEG,the results showed that the time-window wavelet energy entropy could be sensitive to reflect the seizure onset time and electrodes.Conclusion The wavelet energy entropy of contacts inside SOZ increased significantly at scizurc onset,and this conclusion can be used to assist in presurgical localization of epilepsy.