Exploration, processing and visualization of physiological signals from the ICU

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 inclu...

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Main Author: Renjifo, Carlos A
Other Authors: George C. Verghese.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/33350
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-333502019-05-02T15:53:08Z Exploration, processing and visualization of physiological signals from the ICU Renjifo, Carlos A George C. Verghese. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2006-07-13T15:17:21Z 2006-07-13T15:17:21Z 2005 2005 Thesis http://hdl.handle.net/1721.1/33350 62412698 eng 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 120 p. 5707859 bytes 5712889 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Renjifo, Carlos A
Exploration, processing and visualization of physiological signals from the ICU
description 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.
author2 George C. Verghese.
author_facet George C. Verghese.
Renjifo, Carlos A
author Renjifo, Carlos A
author_sort Renjifo, Carlos A
title Exploration, processing and visualization of physiological signals from the ICU
title_short Exploration, processing and visualization of physiological signals from the ICU
title_full Exploration, processing and visualization of physiological signals from the ICU
title_fullStr Exploration, processing and visualization of physiological signals from the ICU
title_full_unstemmed Exploration, processing and visualization of physiological signals from the ICU
title_sort exploration, processing and visualization of physiological signals from the icu
publisher Massachusetts Institute of Technology
publishDate 2006
url http://hdl.handle.net/1721.1/33350
work_keys_str_mv AT renjifocarlosa explorationprocessingandvisualizationofphysiologicalsignalsfromtheicu
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