Electroencephalograph for Detection of Acute Ischemic Stroke
- Conditions
- Stroke
- Registration Number
- NCT01737723
- Lead Sponsor
- Neurokeeper Technologies
- Brief Summary
The purpose of this study is Collecting data for an Electroencephalograph based algorithm for detection of onset and deterioration of Acute Ischemic Stroke by Comparison to NIHSS.
- Detailed Description
Inclusion criteria study population Age \> 18 years old. Acute stroke symptoms onset within 120 hours of inclusion, and as proximate to event as possible.
Acute ischemic moderate or severe hemispheric stroke (assessed as 5 points or more by NIHSS) and including patients treated by t-PA
Exclusion criteria study population Primary intracranial hemorrhage on admission by CT. Significant movement disorder. Previous major hemispheric stroke. Local skull or skin affliction which prevents electrodes application. Any known condition which in the opinion of the investigator may interfere with the protocol implementation.
Inclusion criteria Control Population
Age \> 18 years old.
Exclusion criteria Control Population Primary intracranial hemorrhage on admission by CT. Significant movement disorder. Previous major hemispheric stroke. Local skull or skin affliction which prevents electrodes application. Migraine Any known condition which in the opinion of the investigator may interfere with the protocol implementation.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 20
- Age > 18 years old.
- Acute stroke symptoms onset within 120 hours of inclusion, and as proximate to event as possible.
- Acute ischemic moderate or severe hemispheric stroke (assessed as 5 points or more by NIHSS) and including patients treated by t-PA
- Primary intracranial hemorrhage on admission by CT.
- Significant movement disorder.
- Previous major hemispheric stroke.
- Local skull or skin affliction which prevents electrodes application.
- Any known condition which in the opinion of the investigator may interfere with the protocol implementation
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Detection of stroke EEG base algorithm system to detect and monitor changes in cerebral electrophysiological parameters as compared to clinical evaluation as assessed by NIHSS score.
- Secondary Outcome Measures
Name Time Method Correlation to severity of stroke Correlations between EEG + ERP changes and clinical status as assessed by NIHSS score.
Related Research Topics
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Trial Locations
- Locations (1)
Rambam Medical Center
🇮🇱Haifa, Israel
Rambam Medical Center🇮🇱Haifa, IsraelMoshe Herskovitz, MDContact97248542605m_herskovitz@rambam.health.gov.ilGregory Telman, MDPrincipal Investigator