2026-09-20T03:06:38Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/770162022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
George C. Verghese and Faisal M. Kashif.
Hwang, Irena T. (Irena Tammy)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2013-02-14T15:38:38Z
2013-02-14T15:38:38Z
2012
2012
http://hdl.handle.net/1721.1/77016
825769571
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 73-75).
Elevation of intracranial pressure (ICP), the pressure of the fluid surrounding the brain, can require urgent medical attention. Current methods for determining ICP are invasive, require neurosurgical expertise, and can lead to infection. ICP measurement is therefore limited to the sickest patients, though many others could potentially benefit from availability of this vital sign. We present a frequency-domain approach to ICP estimation using a simple lumped, linear time-invariant model of cerebrovascular dynamics. Preliminary results from 28 records of patients with severe traumatic brain injury are presented and discussed. Suggestions for future work to improve the estimation algorithm are proposed.
by Irena T. Hwang.
M.Eng.
75 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Frequency domain model-based intracranial pressure estimation
Thesis
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<Abstract>Elevation of intracranial pressure (ICP), the pressure of the fluid surrounding the brain, can require urgent medical attention. Current methods for determining ICP are invasive, require neurosurgical expertise, and can lead to infection. ICP measurement is therefore limited to the sickest patients, though many others could potentially benefit from availability of this vital sign. We present a frequency-domain approach to ICP estimation using a simple lumped, linear time-invariant model of cerebrovascular dynamics. Preliminary results from 28 records of patients with severe traumatic brain injury are presented and discussed. Suggestions for future work to improve the estimation algorithm are proposed.</Abstract>
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