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Massachusetts Institute of Technology

Signal processing approaches to analyzing patient cardiovascular state

Abstract

dc:description.abstract

There is a wealth of unanalyzed data stored in patient records that could yield insight into a patient's cardiovascular state during surgery and causes of fluctuations in hemodynamics. Recent work suggests that time spent outside a certain blood pressure range corresponds to an increased risk of adverse outcomes after surgery. An analysis of blood pressures recorded during surgery could also be tied to patient fluid responsiveness, pulse pressure variability (PPV) can be a predictor of fluid responsiveness in surgical patients. Thus, a comparison of physiological variables such as cardiac output (CO), total peripheral resistance (TPR), and PPV of patients who experience adverse outcomes to those who do not could help explain the link between adverse outcomes and intraoperative blood pressure variations. Data from patients undergoing cardiothoracic surgery was used to investigate intraoperative hemodynamics. Patients were separated into two groups: those who experienced adverse outcomes within 30 days of surgery (cases) and those who did not (controls). A comparison of blood pressure values extracted from patient data revealed that cases had higher systolic and lower diastolic values during surgery. CO and TPR were computed from these data but a comparison of variability for the two groups yielded no conclusive results.

Degree

thesis:*
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
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mishra, Ekavali
Advisor dc:contributor.advisor
  • George C. Verghese and Thomas Heldt.

Subjects

dc:subject × 1

Rights

dc:rights
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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/66448
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/66448

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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citation

Mishra, Ekavali. Signal processing approaches to analyzing patient cardiovascular state. Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66448