Applying Hilbert Transform to Monitor Cerebral Function of Patients Diagnosed with Mesial Temporal Lobe Epilepsy: Comparison Between aEEG and HaEEG

Abstract

Electroencephalography (EEG) is one of the first choices for diagnosis of epilepsy, and in some cases this exam should be performed over long periods of time. A cerebral function monitor device aids this long term monitoring and consequently the diagnosis of epilepsy. However, EEG generates a large amount of data to be analyzed, which complicates and slows the diagnostic process. In order to speed up and facilitate this process, a method of data reduction known as amplitude-integrated EEG (aEEG) is currently used, which shows EEG trends over long periods of time. Hilbert aEEG (HaEEG) is another method of EEG reduction, which uses Hilbert transform for envelope acquisition during the reduction process. This work aims to compare aEEG and HaEEG. This comparison was performed using central (C3, C4), parietal (P3, P4) and temporal (T1, T2, T3, T4, T5, T6) derivations from seizure-containing records, a comparison was made between aEEG and HaEEG. Both methods highlighted seizures in relation to background activity, indicating that both can be used in EEG reduction from patients with mesial temporal lobe epilepsy.