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CVA in Patients Suffering From Decreased Consciousness, Confusion or Headaches to an Emergency Room

StatusNot Yet Recruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Primary completion date: Jan 2023 to Dec 2026
    • Start date: Feb 1, 2022 to Jun 1, 2024
    • Study completion date: Feb 2024 to Dec 2026
    v5
  2. Primary completion date: Jan 2021 to Jan 2023v4 Show 4 more changesShow less
    • Start date: Apr 1, 2018 to Feb 1, 2022
    • Trial status: Recruiting to Not Yet Recruiting
    • Study completion date: Feb 2022 to Feb 2024
    • Site details revised
  3. Re-verified, no change to tracked fieldsv3
  4. Trial status: Not Yet Recruiting to Recruitingv2 Show 4 more changesShow less
    • Primary completion date: Jan 2020 to Jan 2021
    • Study completion date: Feb 2020 to Feb 2022
    • Start date changed from estimate of Jan 2018 to Apr 1, 2018
    • Site details revised
  5. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT03377062
Lead Sponsor Rambam Health Care Campus
Conditions
(from sponsor)		 CVA
Enrollment 120 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov