Exploration, processing and visualization of physiological signals from the ICU

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2005

Author dc:creator

• Renjifo, Carlos A

Advisor dc:contributor.advisor

• George C. Verghese.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/33350

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/33350