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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Subjects admitted to Epilepsy Monitoring Units in the VAMC | Experimental | 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). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| SPEAC System | Device | Seizure Monitoring and Alerting System |
|
| Measure | Description | Time Frame |
|---|---|---|
| Test an independent group of epileptologist's ability to classify motor events between epileptic or non-epileptic using sEMG and audio. | 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. | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| To test the Brain Sentinel® Seizure Monitoring and Alerting System's ability to classify motor events as epileptic or non-epileptic. | 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. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Aatif Husain, MD | Epilepsy Center of Excellence (ECoE) at the Durham VA Medical Center in Durham, North Carolina | Principal Investigator |
| Alan Towne, MD | Epilepsy Center of Excellence (ECoE) at Hunter Holmes McGuire VA Medical Center in Richmond, Virginia | Principal Investigator |
| David Chen, MD | Epilepsy Center of Excellence (ECoE) at the Michael E. DeBakey VA Medical Center in Houston, Texas | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Durham VAMC | Durham | North Carolina | 27705 | United States | ||
| Michael E DeBakey VA Medical Center |
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| ID | Term |
|---|---|
| D020938 | Epilepsy, Partial, Motor |
| D000091323 | Psychogenic Nonepileptic Seizures |
| ID | Term |
|---|---|
| D004828 | Epilepsies, Partial |
| D004827 | Epilepsy |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| video EEG | Device | The Video EEG Monitoring Test (VEEG) is a high specialized form of an EEG test in where the patient is continuosly monitored by using a video recorder. This allows doctors to observe brainwaves activity during the time a seizure or spell is occurring. |
|
| 1 Year |
| Houston |
| Texas |
| 77030 |
| United States |
| Hunter Holmes McGuire VA Medical Center | Richmond | Virginia | 23249 | United States |
| D009422 |
| Nervous System Diseases |
| D012640 | Seizures |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |