ANALYSIS OF HEART SOUND FOR AUTOMATED DIAGNOSIS OF CARDIAC DISORDERS

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ID: 109686
2020
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Abstract
Healthcare monitoring system have received substantial attention of researchers in the past few years. The most important aim was to invent a dedicated patient monitoring system in order to make it possible for healthcare professionals to supervise their patients from a remote distance. The most commonly used technique to identify or assess the cardiac disorders is body Auscultation. This is an inexpensive and highly effective method, but presence of professional doctors is always necessary for this method to understand heart sound for diagnosis of cardiac disorders. This work aims to provide the basic distinction between healthy and unhealthy heart sounds. some of the unique features of heart sound are to be taken into considerations to automate the identification of cardiac disorders. The experimental results should specify enough differentiation between healthy and unhealthy patient’s data that is heart sounds for automated assessment of cardiac disorders using various signal processing algorithms.
Reference Key
Jawale2020internationalANALYSIS Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Pranali K. Jawale, A. N. Cheeran, Vaibhav Awandekar
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Journal international engineering journal for research & development
Year 2020
DOI
10.17605/OSF.IO/TB2S8
URL
http://iejrd.com/index.php/%20/article/view/670
Keywords
auscultation; digital stethoscope; signal processing; cardiac disorders; heart sound lub dub

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