Seizure localization using EEG analytical signals.

ABSTRACT:

Objective

Localization of epileptic seizures, usually characterized by abnormal hypersynchronous wave patterns from the cortex, remains elusive. We present a novel, robust method for automatic localization of seizures on the scalp from clinical electroencephalogram (EEG) data.

Methods

Seizure patient EEG data was decomposed via the Hilbert Transform and processed through the following methodology: sorting the analytic amplitude (AA) in the time instance, locating the maximum amplitude within the vector of channels, cross-correlating amplitude values in the time index with the channel vector. The channel with highest AA value in time was located.

Results

Our approach provides an automated way to isolate the epi-genesis of seizure events with 93.3% precision and 100% se

SUBMITTER: Myers MH 

PROVIDER: S-EPMC7437564 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature