Screening for Cognitive Impairment by Model Assisted Cerebral Blood Flow Estimation
Changes in regional cerebral blood flow (CBF) have been linked with blood-brain barrier dysfunction in Alzheimer’s disease (AD). Screening for these CBF changes by out-of-clinic portable measurmenet devices has been proposed for improving the diagnosis of AD. We combine physiological modelling with blood pressure monitoring and carotid ultrasound imaging, where the computer model predicts 24-hour CBF profiles. These profiles are used in a machine learning classifier to improve dementia diagnosis.