The utility of an automated and ambulatory device for detecting and differentiating epileptic and psychogenic non-epileptic seizures.

ABSTRACT:

Objective

Accurate differentiation between epileptic seizures (ES) and psychogenic non-epileptic seizures (PNES) can be challenging based on history alone. Inpatient video EEG monitoring (VEM) is often needed for a definitive diagnosis. However, VEM is highly resource intensive, is of limited availability, and cannot be undertaken over long periods. Previous research has shown that time-frequency analysis of accelerometer data could be utilized to differentiate between ES and PNES. Using a seizure detection and classification algorithm, we sought to examine the diagnostic utility of an automated analysis with an ambulatory accelerometer.

Methods

A wrist-worn device was used to collect accelerometer data from patients during VEM admission, for diagnostic evaluation of convuls

SUBMITTER: Naganur VD 

PROVIDER: S-EPMC6546070 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature