Convulsion, Non-Epileptic
Conditions
Brief summary
A retrospective validation study of a post-processing method intended to identify psychogenic nonepileptic seizures
Detailed description
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
Interventions
DEVICEBrain Sentinel's sEMG Post-processing algorithm
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.
Sponsors
Brain Sentinel
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
2 Years to 99 Years
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| > 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. | 6 months |
Outcome results
None listed