Model-based estimation of intracranial pressure and cerebrovascular autoregulation

Monitoring cerebrovascular state, including intracranial pressure (ICP) and the ability to regulate cerebral blood flow, is important for patient care in stroke, traumatic brain injury and other such conditions. However, current methodologies for direct measurement of ICP are highly invasive, and expose patients to the risk of infection. In addition, vascular properties such as resistance and compliance cannot be directly assessed. In this work, we employ a mathematical model-based approach to track variations in ICP and cerebrovascular properties from signals that can be acquired entirely non-invasively. The performance on simulation data indicates that the estimates track the desired quantities closely, thus suggesting that tests using clinical data are warranted.