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Heart Diseases Diagnose via Artificial Intelligence-Powered Mobile Application
Version 1
: Received: 14 January 2021 / Approved: 15 January 2021 / Online: 15 January 2021 (12:45:45 CET)
A peer-reviewed article of this Preprint also exists.
Güven, M.; Hardalaç, F.; Özışık, K.; Tuna, F. Heart Diseases Diagnose via Mobile Application. Appl. Sci. 2021, 11, 2430. Güven, M.; Hardalaç, F.; Özışık, K.; Tuna, F. Heart Diseases Diagnose via Mobile Application. Appl. Sci. 2021, 11, 2430.
Abstract
One of the oldest and common methods of diagnosing heart abnormalities is auscultation. Even for experienced medical doctors, it is not an easy task to detect abnormal patterns in the heart sounds. Most of the digital stethoscopes are now capable of recording and transferring the heart sounds. Moreover, it is proven that auscultation records can be classified as healthy or unhealthy via artificial intelligence techniques. In this work, an artificial intelligence-powered mobile application that works in a connectionless fashion is presented. According to the clinical experiments, the mobile application can detect heart abnormalities with approximately 92% accuracy which is comparable if not better than humans since only a small number of well-trained cardiologists can analyze auscultation records better than artificial intelligence. Using the diagnostic ability of artificial intelligence in a mobile application would change the classical way of auscultation for heart disease diagnosis.
Keywords
Heart diseases; Auscultation; Machine learning; Telemedicine; Digital Stethoscope
Subject
Computer Science and Mathematics, Algebra and Number Theory
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Heart Diseases Diagnose via Mobile Application
by Mesut Güven 1,*ORCID,Fırat Hardalaç 1,Kanat Özışık 2 andFunda Tuna 2
1
Electrical and Electronics Engineering Department, Gazi University, Ankara 06570, Turkey
2
Cardiovascular Surgery Department, Ankara City Hospital, Ankara 06800, Turkey
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(5), 2430; https://doi.org/10.3390/app11052430
Received: 8 February 2021 / Revised: 26 February 2021 / Accepted: 2 March 2021 / Published: 9 March 2021