2026-09-19T01:29:28Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333502022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
George C. Verghese.
Renjifo, Carlos A
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:17:21Z
2006-07-13T15:17:21Z
2005
2005
http://hdl.handle.net/1721.1/33350
62412698
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 119-120).
This report studies physiological signals measured from patients in the Intensive Care Unit (ICU). The signals explored include heart rate, arterial blood pressure, pulmonary artery pressure, and central venous pressure measurements. Following an introduction to these signals, several methods are proposed for visualizing the data using time and frequency domain techniques. By way of a patient case study we motivate a novel method for data clustering based on the singular value decomposition and present some potential applications based on this method for use within the ICU setting.
by Carlos A. Renjifo.
M.Eng.
120 p.
5707859 bytes
5712889 bytes
application/pdf
application/pdf
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 permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Exploration, processing and visualization of physiological signals from the ICU
Thesis
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