With over 1M heart sounds analyzed to date, our advanced machine learning algorithms are clinically validated at 90% sensitivity — double that of conventional practice.1,2,3
The future of heart disease detection is here. SENSORA™ helps detect structural heart murmurs in seconds, using a familiar clinical tool — the stethoscope.
Enhance the Physical Exam
Our novel suite of algorithms goes beyond identification. It characterizes and classifies heart sound recordings, distinguishing between innocent or absent, structural systolic, and diastolic murmurs.
Our clinical support tool captures heart sounds for you, so all that's left is to interpret the results. It easily integrates into your support team's existing workflow, providing you with more intentional, focused time with patients.
How SENSORA™ Works:
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SENSORA™ Murmur Detection is available only in the US.
(1) Gardezi et al. Cardiac auscultation in diagnosing valvular heart disease: a comparison between general practitioners and cardiologists. European Heart Journal, Vol. 38 (2017): 11552.
(2) Eko Murmur Analysis Software User Manual, LBL 295 Rev B. Structural murmur identification in adult patients (>18 years old)
(3) Prince et al. (2023). On the Automation of Cardiac Auscultation: A Machine Learning Platform to Classify Murmurs and their Characteristic. [Manuscript approved for publication]
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