@inproceedings{ef14ade494474dc6a3f1185e9df49299,
title = "Developing a Continuous Hemodynamic Autoregulation Monitor",
abstract = "There arc about 1.7 million cases of traumatic brain injury (TBI) in the U.S. annually [1]. or these, patients with moderate to severe head injurirs are typically monitored in surgical intensive care units (SICU) in order to prevent secondary injury to the brain. Treatments are only implemented to reduce intracranial hypertension (IH). Here, we aim to provide near real-time predictive information to enable informed decisions about therapies for TBI patients. In order to predict IH events, existing and newly dewloped autoregulation (AR) indices were evaluated for predictive efficacy. This study will investigate the applicability of the colllpensatory reserw index i.e. RAP-coffelation (R) between the alllfllitude (A) and mean (P) of intracranial pressure (ICP) to predict IH. Preliminary results cOlllflaring simulated amI real patient data indicate that RAP relates to ICP changes and has future potential for predicting ICP events and patient outcome.",
author = "Pineda, \{B. A.\} and Qadri, \{M. J.\} and C. Kosinski and Kim, \{N. H.\} and S. Danish and W. Craelius",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 ; Conference date: 17-04-2015 Through 19-04-2015",
year = "2015",
month = jun,
day = "2",
doi = "10.1109/NEBEC.2015.7117187",
language = "American English",
series = "2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015",
address = "United States",
}