Extracting clinically-actionable information from wearable physiological monitors
Name
770669353-MIT.pdf
Description
Full printable version
Size
23.01 MB
Format
Adobe PDF
Checksum (MD5)
1d532d4317dbe7d7d14719a5fdde31f4
Author(s)
Haslam, Bryan (Bryan Todd)
Advisor(s)
George Verghese and Thomas Heldt.
Date Issued
2011
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis I examine several ways of extracting information from wearable monitors so as to help make clinical decisions. Wearable physiological sensors are developing rapidly, and pose a possible part of the solution to the demands of an aging population and rising health care costs. It is important that the data produced by such sensors be processed into information that is clinically relevant and will have an impact on the practice of medicine. I collected data in an ambulatory setting from several wearable physiological sensors, including electrocardiogram, arterial blood pressure, pulse plethysmograph, respiration and acceleration. Using this data set, I demonstrated a few approaches - including signal processing, and algorithms based on the application of physiological models - to extract clinically relevant information. These approaches are potentially of interest to both device makers interested in developing wearable monitors, and to clinicians who will be using such monitors in the future.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 161-167).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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