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.
Protocol Amendment History
4 amendments
This ClinicalTrials.gov record has been amended 4 times since 2017-12-13; most recent amendment 2023-12-07.
Status change: Recruiting → Not Yet Recruiting2021-12-23
Status change: Not Yet Recruiting → Recruiting2019-03-26