This is a multi-center study with an overall aim of evaluating the accuracy to which neurologists can discriminate seizures from other epileptic, nonepileptic or physiologic seizures by home video recordings, with the overall goal of determining whether this is a feasible diagnostic method in settings where video electroencephalogram monitoring (VEM) may be limited.
This will be achieved by obtaining smartphone video recordings from consecutive adult patients with the intent of admission to the epilepsy monitoring unit to capture the seizure. Adults included will have a confirmed electroclinical diagnosis by video-EEG monitoring of the event of concern, classified as either epileptic or non- epileptic seizure, or physiologic event. The videos will be reviewed, and qualitative analysis determined as definite seizure, probable or unable to indeterminate epileptic, non epileptic or physiologic seizure. The answer will also include a quantitative scale rating the certainty of diagnosis. Classifications will be compared to electroclinical diagnosis for assessment of accuracy.
The videos will be reviewed, and qualitative analysis determined as definite seizure, probable or unable to indeterminate epileptic, non epileptic or physiologic seizure. The answer will also include a quantitative scale rating the certainty of diagnosis. Classifications will be compared to electroclinical diagnosis for assessment of accuracy.