Cardiac auscultation, an important part of the physical examination, is difficult for
many primary care providers. As a result, diagnoses are missed or auscultatory signs
misinterpreted. A reliable, automated means of interpreting cardiac auscultation should
be of benefit to both the primary care provider and to patients. This paper explores a
novel approach to this problem and develops an algorithm that can be expanded to
include all the necessary electronics and programming to develop such a device. The
algorithm is explained and its shortcomings exposed. The potential for further
development is also expounded. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_33468 |
| Contributors | Lieber, Claude (author), Erdol, Nurgun (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 108 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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