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Arrhythmia Detection Algorithms for Implantable Cardioverter Defibrillators

Author: Dr. Amy Bell

In this project, students learn how implantable cardioverter defibrillators allow people with certain kinds of cardiac arrhythmias to live normal, active lives. In the laboratory, the students use Matlab to investigate algorithms for quickly and accurately detecting the abnormal heart rhythms that require intervention. Along the way, they learn that signals can be processed in both the time and frequency domains, and how the complexity of an algorithm affects how quickly it runs. They also consider the ethics of an actual case in which a maker of defibrillators discovered a flaw in their device, but delayed publicizing the flaw for three years.

Download All Files 17.269 MB*
Background Lecture:Background Lecture (1.719 MB)
Student Project Assignment*:Student Project Assignment* (44 KB)
Faculty Project Description:Faculty Project Description (39.5 KB)
Project Report Solution*:Project Report Solution* (57.5 KB)
Summary Lecture:Summary Lecture (604.5 KB)
Additional Project Materials*:Additional Project Materials* (121.114 KB)
Additional Project Materials*:Additional Project Materials* (15.415 MB)


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