Monitoring Neurological Deterioration in Anaesthetised Patients With Electroencephalogram (EEG): Demonstration With Patients Undergoing Neurovascular Intervention After Cerebrovascular Attack (CVA).

The research aim is to validate a novel ground-breaking and easy-to-use EEG-based algorithm for sensing cerebrovascular accident (CVA) events under anaesthesia. Today there is no standard tool for CVA detection in anaesthetized patients. Thus the possibility of waking up from anaesthesia with severe brain damage is devastating. Patients undergoing cardiac surgery (such as valve replacement, CABG, thoracic aorta replacement, PTCA, TAVI (trans-aortic valve implantation)), carotid endarterectomy and surgery in sitting position, are at exceptionally high risk. We have developed a unique algorithm for detecting brain ischemia in anaesthetized patients, based on data acquired from 4 EEG electrodes. Our final goal is to develop a system that triggers an alarm when an ischemia occurs in an anaesthetized patient and during the peri-operative period.

In order to validate and optimize our system, we require a small sample size to test and validate the technology. The population for this study includes patients with acute CVA who undergo mechanical thrombectomy under anaesthesia. Although these patients already have CVA, clinical dynamics is high in this population, and will enable a demonstration of our ability to recognize immediate changes in neurological status (improvement or deterioration).

We believe this innovative EEG based system could be of major significance to millions of patients annually.