Key result
Automated heart sound analysis accurately differentiates healthy from abnormal cardiac acoustic signals.
Why the study?
Body auscultation is an effective but professional-dependent method for diagnosing cardiac disorders, motivating automation of heart sound analysis for remote monitoring.
Can automated assessment using signal processing algorithms accurately distinguish between healthy and unhealthy heart sounds?
Can automated assessment using signal processing algorithms accurately distinguish between healthy and unhealthy heart sounds?
Automated analysis of heart sounds using signal processing algorithms aims to provide a remote and accessible method for diagnosing cardiac disorders without requiring a physician's physical presence.
Answers are grounded in this paper and cite their sources.
Feasibility of automated heart sound analysis shown; leaves open prospective validation before remote monitoring adoption.
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.
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Jawale et al. (2020) studied Cardiac disorders. Automated assessment using signal processing algorithms was evaluated on Differentiation between healthy and unhealthy heart sounds. Automated analysis of heart sounds using signal processing algorithms was proposed to distinguish between healthy and unhealthy patients for the remote diagnosis of cardiac disorders.
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