Cerebral Autoregulation Assessment Using Electroencephalograms
| Title | Cerebral Autoregulation Assessment Using Electroencephalograms |
| Publication Type | Conference Paper |
| Year of Publication | 2013 |
| Authors | Bajwa, G, Dantu, R |
| Conference Name | Proceedings of the 8th International Conference on Body Area Networks |
| Publisher | ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) |
| Conference Location | ICST, Brussels, Belgium, Belgium |
| ISBN Number | 978-1-936968-89-3 |
| Keywords | Blood pressure, cerebral autoregulation, cerebral blood flow, electroencephalograms |
| Abstract | <p>This paper presents the possibility of using Electroencephalograms (EEG) signals of an individual for quantitative interpretation of Cerebral Autoregulation (CA). EEG data was recorded during arm cuff inflation to induce dynamic changes in arterial blood pressure and then, Cerebral Blood Flow (CBF) was estimated from EEG using canonical hemodynamic response function (HRF). The assessment of CA was carried out by using power of the various frequency bands of EEG signal.</p> |
| URL | http://dx.doi.org/10.4108/icst.bodynets.2013.253703 |
| DOI | 10.4108/icst.bodynets.2013.253703 |
Publication Status:
- Published
UNT Department:
- Computer Science and Engineering (CSE)
UNT Center:
- Center for Information and Cyber Security (CICS)
UNT Lab:
- Network Security Laboratory (NSL)
Grant:
MRI: Development of a Flexible Instrument and Tools for Experimental Research in Next Generation 9-1-1 ServicesCollaborative Research: CRI: IAD: A Testbed for Research and Development of Next Generation 9-1-1 ServicesMRI: CloudCar: Development of a Diverse Distributed Instrument for Vehicles in the Cloud