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Automated Identification of Psychogenic Nonepileptic Seizures

NCT03013348 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 104

Last updated 2019-12-19

No results posted yet for this study

Summary

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

Conditions

  • Convulsion, Non-Epileptic

Interventions

DEVICE

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.

Sponsors & Collaborators

  • Brain Sentinel

    lead OTHER

Principal Investigators

  • Jonathan Halford, MD · Medical University of South Carolina

Eligibility

Min Age
2 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-01-31
Primary Completion
2019-05-21
Completion
2020-08-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03013348 on ClinicalTrials.gov