Journal article

Seizure Forecasting Using Long-Term Electroencephalography and Electrocardiogram Data.

Wenjuan Xiong, Ewan S Nurse, Elisabeth Lambert, Mark J Cook, Tatiana Kameneva

Int J Neural Syst | Published : 2021

Abstract

Electroencephalography (EEG) has been used to forecast seizures with varying success. There is an increasing interest to use electrocardiogram (ECG) to help with seizure forecasting. The neural and cardiovascular systems may exhibit critical slowing, which is measured by an increase in variance and autocorrelation of the system, when change from a normal state to an ictal state. To forecast seizures, the variance and autocorrelation of long-term continuous EEG and ECG data from 16 patients were used for analysis. The average period of recordings was 161.9 h, with an average of 9 electrographic seizures in an individual patient. The relationship between seizure onset times and phases of varia..

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University of Melbourne Researchers