APPARATUS AND METHODS FOR DETECTION AND MONITORING OF CEREBRAL ISCHEMIA TO ENABLE OPTIMAL STROKE TREATMENT

摘要

Provided herein are systems and methods for automatically determining if a subject is having a stroke. A subject's brain may be monitored with sensors or electrodes to acquire biopotential voltage data. EEG data, power spectrum data and ratios and differences thereof, principal component analysis (PCA) features, and/or other engineered features may be extracted scored with automated machine learning systems. A classifier can identify and/or output if the subject is having a stroke. The subject or a third party can be automatically notified that the subject is having a stroke.