Monitoring transient repolarization segment morphology deviations in mouse ECG

This thesis details the design, implementation and validation of a system that facilitates partial automation for detection of anomalous repolarization segment morphologies in the ECG of mice. The technology consists of hardware for signal conditioning of the electrocardiogram (ECG); software for the collection, archiving and real-time & retrospective Internet visualization of data; and an algorithm for morphology analysis of the repolarization segment in murine ECG. The system was validated using genetically engineered mouse subjects with elevated VLDL, analogous to LDL or "bad cholesterol" in humans, and elevated but modified HDL, or "good cholesterol." These subjects, so-called "double-knockout" or dKO mice, exhibit repolarization segment morphologies that are manifestations of severe cardiovascular pathophysiology. This thesis describes the technology in detail and its application to elucidating long-term trends in repolarization morphology deviations in dKO mice. The paper concludes with future work that will utilize the technology and potential clinical applications.

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

2006

Author dc:creator

• Oefinger, Matthew Blake, 1976-

Advisor dc:contributor.advisor

• Roger C. Mark.

• 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/1721.1/38304
• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Identifier URI

http://dspace.mit.edu/handle/1721.1/38304

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/38304