Automated Identification of Psychogenic Nonepileptic Seizures
NCT ID: NCT03013348
Last Updated: 2019-12-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
104 participants
OBSERVATIONAL
2017-01-31
2020-08-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
RETROSPECTIVE
Study Groups
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Adults (22-99),
Male or female subject between the ages of 22-99, previously admitted to the Medical University of South Carolina for inpatient vEEG monitoring in the MUSC Epilepsy Monitoring Unit with at least one PNES was recorded during that admission. Validation of Brain Sentinel's sEMG Post-processing algorithm will involve prospective evaluation of at least 30 PNES events in this group.
Brain 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.
Adolescents (13-21)
Male or female subject between the ages of 13-21, previously admitted to the Medical University of South Carolina for inpatient vEEG monitoring in the MUSC Epilepsy Monitoring Unit with at least one PNES was recorded during that admission. Validation of Brain Sentinel's sEMG Post-processing algorithm will involve prospective evaluation of at least 30 PNES events in this group.
Brain 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.
Children (2-12)
Male or female subject between the ages of 2-12, previously admitted to the Medical University of South Carolina for inpatient vEEG monitoring in the MUSC Epilepsy Monitoring Unit with at least one PNES was recorded during that admission. Validation of Brain Sentinel's sEMG Post-processing algorithm will involve prospective evaluation of at least 30 PNES events in this group.
Brain 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.
Interventions
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Brain 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.
Eligibility Criteria
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Inclusion Criteria
* 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
2 Years
99 Years
ALL
No
Sponsors
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Brain Sentinel
OTHER
Responsible Party
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Principal Investigators
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Jonathan Halford, MD
Role: PRINCIPAL_INVESTIGATOR
Medical University of South Carolina
Other Identifiers
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NES-1.5-09.2016
Identifier Type: -
Identifier Source: org_study_id