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An Exploratory Trial Using sEMG to Differentiate PNES From Epileptic Seizures

An Exploratory Trial Using sEMG to Differentiate PNES From Epileptic Seizures

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03169751
Enrollment
71
Registered
2017-05-30
Start date
2017-09-01
Completion date
2020-02-01
Last updated
2019-12-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Epilepsy, Motor Seizure, Non-Epileptic Seizure

Brief summary

This is an observational study of subjects receiving standard of care therapy, while admitted to Epilepsy Monitoring Unit, Department of Neurology, General Hospital Hietzing with Neurological Center Rosenhügel. Additional monitoring provided by the SPEAC System will be compared to the gold standard, vEEG. The SPEAC System is being evaluated while being used in adjunct to standard of care.

Interventions

DEVICEBrain Sentinel Monitoring and Alerting System

The Brain Sentinel Monitoring and Alerting System is indicated for use as an adjunct to seizure monitoring in adults in the home or healthcare facilities during periods of rest. The device is to be used on the belly of the biceps muscle to analyze surface electromyographs (sEMG) signals that may be associated with generalized tonic-clonic (GTC) seizures and to provide an alarm to alert caregivers of unilateral, appendicular, tonic extension that could be associated with a GTC seizure. The System records and stores sEMG data for subsequent review by a trained healthcare professional.

Sponsors

Brain Sentinel
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No

Inclusion criteria

1. Subject has a suspected history of PNES with upper extremity motor involvement or epileptic seizures with upper extremity motor involvement. 2. Is being admitted to a hospital for routine vEEG monitoring related to seizures. 3. Male or female between the ages of 18-99. 4. If female and of childbearing potential, has a negative pregnancy test. 5. Can understand and sign written informed consent prior to the performance of any study assessments. 6. Subject must be competent to follow all study procedures.

Exclusion criteria

1.Intracranial EEG electrodes are being used.

Design outcomes

Primary

MeasureTime frameDescription
3 independent physicians' abilities to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using vEEG, using a majority rules approach (2 out of 3)5 daysThe primary endpoint is to test a physician's ability to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using vEEG review. PNES and epileptic seizures will initially be identified, described, and documented following routine clinical care (vEEG).
3 independent physicians' abilities to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using sEMG, using a majority rules approach (2 out of 3)5 daysThe primary endpoint is to test a physician's ability to differentiate between epileptic events (with upper extremity motor involvement) and PNES (with upper extremity motor involvement) using sEMG recorded by the SPEAC System. PNES and epileptic seizures will initially be identified, described, and documented following routine clinical care (vEEG). The sEMG record will be evaluated to identify PNES, displaying upper extremity motor components, and epileptic seizures, displaying upper extremity (UE) motor components. It is anticipated that \> 70% of PNES with UE motor involvement identified by vEEG will be identified by sEMG recordings as well.

Secondary

MeasureTime frameDescription
To evaluate the System's ability to detect GTC seizures, as compared to vEEG monitoring5 daysIt is anticipated that \>70% of GTC seizures identified by vEEG will be identified by the SPEAC System's automated alarms as well.

Countries

Austria

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026