The goal of this observational study is to evaluate accuracy of portable electronic stethoscope and machine learning-based diagnostic algorithms for detecting the disease in people with valvular heart disease and healthy controls. The main question it aims to answer is: Is portable electronic stethoscope and machine learning-based diagnostic algorithms allow accurate detection of valvular heart disease? Researchers will compare diagnostic algorithm's predictions with the clinicians' predictions to see if the diagnostic results are accurate. Participants will * take echocardiogram * take electrocardiogram using BPM Core * get the heart auscultation data measured via electronic stethoscope
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Accuracy of valvular heart disease diagnosis using portable electronic stethoscope and machine learning-based diagnostic algorithms.
Timeframe: from admission to discharge, up to 1 hour