An Algorithm for the Automated Interpretation of Cardiac Auscultation

Author

• Claude Lieber

Author Type

Graduate Student

Date of Award

2016

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Erdol, Nurgun

Abstract

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.

Extent

108 p.

Comments

Includes bibliography.|Thesis (M.S.)--Florida Atlantic University, 2016.|FAU Electronic Theses and Dissertations Collection|Includes bibliography.

Recommended Citation

Lieber, Claude, "An Algorithm for the Automated Interpretation of Cardiac Auscultation" (2016). Electronic Theses and Dissertations 2010 - 2019. 1387.
https://digitalcommons.fau.edu/etd_general_6/1387

Identifier

FA00004609

Format

pdf