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Brain EEG Tool for Spotting Stroke in Emergency Patients

Tests an EEG brain-wave tool to detect stroke in adults arriving with confusion or headaches.

Plain-language title generated from the registry record
Registry title: CVA in Patients Suffering From Decreased Consciousness, Confusion or Headaches to an Emergency Room

Key facts

Where
Haifa, IsraelSee the site

Where in Israel

  • Rambam Health Care CampusHaifa, IsraelNo longer taking part

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Trial details

Who runs it
Rambam Health Care Campus
Trial code
NCT03377062
Record updated
8 December 2023
Original description
A CVA occurs when there is a sudden interruption of blood supply to the brain. Fast identification of CVA is crucial in order to refer the patient to an appropriate medical center as well as to direct him/her to a suitable treatment upon arrival to the Medical Center, in order to minimize the permanent damage to the brain. In this study, we are evaluating a tool for detecting CVA based on EEG (electroencephalograph) data analysis using innovative algorithm. The system is comprised of four electrodes, reference electrode and earphones for auditory stimulation. In the study, 120 patients arriving to the emergency room with decreased consciousness, severe headaches or dizziness will be monitored for five-minute each, with EEG accompanied with auditory stimulation. The EEG analysis will be performed based on the synchronization of the front and back hemispheres. During CVA, specific hemisphere is damaged, therefore desynchronization is expected. The purpose of this study is to develop a tool for identifying CVA in patients who have no clear CVA related signs.Read full original descriptionShow less

Cerebrovascular Accident (CVA) in Patients Suffering From Decreased Consciousness, Confusion or Headaches to an Emergency Room

A CVA occurs when there is a sudden interruption of blood supply to the brain. Fast identification of CVA is crucial in order to refer the patient to an appropriate medical center as well as to direct him/her to a suitable treatment upon arrival to the Medical Center, in order to minimize the permanent damage to the brain. In this study, we are evaluating a tool for detecting CVA based on EEG (electroencephalograph) data analysis using innovative algorithm. The system is comprised of four electrodes, reference electrode and earphones for auditory stimulation. In the study, 120 patients arriving to the emergency room with decreased consciousness, severe headaches or dizziness will be monitored for five-minute each, with EEG accompanied with auditory stimulation. The EEG analysis will be performed based on the synchronization of the front and back hemispheres. During CVA, specific hemisphere is damaged, therefore desynchronization is expected. The purpose of this study is to develop a tool for identifying CVA in patients who have no clear CVA related signs.

Inclusion: Patients arriving to the emergency room with decreased consciousness, severe headaches or dizziness.

Exclusion: Pregnant women.

ClinicalTrials.gov NCT03377062