The main objective of this study is to evaluate a machine learning model's ability to detect murmurs indicative of structural heart disease ("structural murmur") by analyzing phonocardiogram waveforms-and simultaneous electrocardiogram waveforms when available-in multiple auscultatory positions per subject. Diagnosis of structural murmur will be confirmed by gold-standard echocardiography and reviewed by an expert panel of cardiologists.
18+ years old
Patient or patient's legal healthcare proxy consents to participation
Documented history of SHD
Undergoing (or has undergone, within 30 days) a complete echocardiogram
Patient or proxy is unwilling/unable to give written informed consent
Unable to complete a complete echocardiogram, or none recent completed within the last 30 days
No documented history of SHD
Experiencing a known or suspected acute cardiac event