Detecting PNES With Single-channel sEMG
- Conditions
- Epilepsy, Motor PartialPsychogenic Seizures
- Interventions
- Device: SPEAC SystemDevice: video EEG
- Registration Number
- NCT03313362
- Lead Sponsor
- Brain Sentinel
- Brief Summary
This is a prospective, comparative, multicenter study of subjects being admitted for standard of care therapy in Epilepsy Monitoring Units in the Veteran's Affair (VA) Medical Centers.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 71
- Subject has a history of suspected epileptic seizures with upper extremity motor involvement, or PNES with upper extremity motor involvement.
- Is being admitted to a hospital for routine vEEG monitoring related to seizures.
- Male or Female between the ages 22 to 99.
- If female and of childbearing potential, has a negative pregnancy test and must not be nursing.
- 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.
- Subject and/or Primary Caregiver must be competent to follow all study procedures.
- Subject/LAR consents to the use of vEEG files, including video/audio recordings, for purposes of this research study.
- Intracranial EEG electrodes are being used.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Subjects admitted to Epilepsy Monitoring Units in the VAMC video EEG Subjects being monitored by standard of care, video EEG, in the Epilepsy Monitoring Units in the VAMC will all be placed on a Seizure Monitoring and Alerting System (SPEAC System). Subjects admitted to Epilepsy Monitoring Units in the VAMC SPEAC System Subjects being monitored by standard of care, video EEG, in the Epilepsy Monitoring Units in the VAMC will all be placed on a Seizure Monitoring and Alerting System (SPEAC System).
- Primary Outcome Measures
Name Time Method Test an independent group of epileptologist's ability to classify motor events between epileptic or non-epileptic using sEMG and audio. 1 year To test the null hypothesis that three independent epileptologists categorize, by majority vote, epileptic seizures and psychogenic non-epileptic seizures (identified utilizing vEEG review) correctly in no more than 70% of cases using sEMG and audio. We aim to test the null hypothesis that the epileptologists categorize epileptic seizures and psychogenic non-epileptic seizures correctly in no more than 70% of cases. The observed rate of correct classification will be compared to the rate of 70% under the null hypothesis using a two-sided binomial exact test.
- Secondary Outcome Measures
Name Time Method To test the Brain Sentinel® Seizure Monitoring and Alerting System's ability to classify motor events as epileptic or non-epileptic. 1 Year Test the null hypothesis that the Brain Sentinel® Seizure Monitoring and Alerting System categorizes epileptic seizures and psychogenic non-epileptic seizures (identified utilizing vEEG review) correctly in no more than 70% of cases. We aim to test the null hypothesis that the Brain Sentinel® Seizure Monitoring and Alerting System's software categorizes epileptic seizures and psychogenic Nonepileptic seizures correctly in no more than 70% of cases. The observed rate of correct classification will be compared to the rate of 70% under the null hypothesis using a two-sided binomial exact test.
Trial Locations
- Locations (3)
Durham VAMC
🇺🇸Durham, North Carolina, United States
Michael E DeBakey VA Medical Center
🇺🇸Houston, Texas, United States
Hunter Holmes McGuire VA Medical Center
🇺🇸Richmond, Virginia, United States