Model
Digital Document
Publisher
Florida Atlantic University
Description
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.
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.
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