@conference {87,
	title = {Cerebral Autoregulation Assessment Using Electroencephalograms},
	booktitle = {Proceedings of the 8th International Conference on Body Area Networks},
	year = {2013},
	publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
	organization = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
	address = {ICST, Brussels, Belgium, Belgium},
	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>
},
	keywords = {Blood pressure, cerebral autoregulation, cerebral blood flow, electroencephalograms},
	isbn = {978-1-936968-89-3},
	doi = {10.4108/icst.bodynets.2013.253703},
	url = {http://dx.doi.org/10.4108/icst.bodynets.2013.253703},
	author = {Bajwa, Garima and Ram Dantu}
}
