Automated Identification of Psychogenic Nonepileptic Seizures

Brain Sentinel104 enrolled

Overview

A retrospective validation study of a post-processing method intended to identify psychogenic nonepileptic seizures

This is a validation study of a post-processing method intended to identify psychogenic nonepileptic seizures by analysis of surface electromyographic (sEMG) artifact previously recorded during routine video-electroencephalographic (vEEG) monitoring

Study Type

OBSERVATIONAL

Enrollment

104

Conditions

Convulsion, Non-Epileptic

Interventions

Brain Sentinel's sEMG Post-processing algorithmDEVICE

Brain Sentinel has developed a post processing method that identifies sEMG signals (recorded from the biceps brachii or as muscle artifact in electroencephalography \[EEG\] recordings) that are pathognomonic for PNES activity.

Eligibility

Sex: ALLMin age: 2 YearsMax age: 99 Years

Medical Language ↔ Plain English

Inclusion Criteria: A subject will be eligible for inclusion in this study if the following criteria apply. * Subject was previously admitted to the Medical University of South Carolina for inpatient vEEG monitoring in the MUSC Epilepsy Monitoring Unit and at least one PNES was recorded during that admission. * Male or female between the ages of 2-99 * Can understand and sign written informed consent, or will have a parent or a legally authorized representative (LAR) who can do so, prior to the performance of any study assessments Exclusion Criteria: * No exclusion criteria have been established for this study.

Outcomes

Primary Outcomes

> 70% sensitivity of a post processing method for classification of psychogenic nonepileptic seizures in sEMG artifact captured during vEEG recordings as compared to vEEG interpretation by a panel of three independent Neurologists.

Time frame: 6 months

Data from ClinicalTrials.gov

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