Early Heart Disease Detection Starts With Primary Care
SENSORA™ Platform by Eko Health

Early Heart Disease Detection Starts With Primary Care

SENSORA™ enables the detection of cardiovascular disease by flagging structural murmurs and low ejection fraction during the physical exam.

How it Works
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Low Ejection Fraction Identification
Low Ejection Fraction Identification
SENSORA™ Low Ejection Fraction (Low EF) aids clinicians in identifying individuals with left ventricular ejection fraction (LVEF) below 40%. It has been trained on over 100,000 ECG and echo data pairs and clinically validated on a dataset of over 16,000 patients from 80 locations.1,2
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Structural Murmur Detection
Structural Murmur Detection
SENSORA™ Structural Murmur more than doubles the detection of possible murmurs, and distinguishes if they’re systolic or diastolic, and innocent or structural. This proprietary software has analyzed over 1 million unique heart sounds.3,4
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How NCH Healthcare System Uses SENSORA™

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SENSORA™ Intervention Saves Patient’s Life

Watch how early detection made all the difference for this patient, and her family.

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SENSORA™ Intervention Saves Patient’s Life

Watch how early detection made all the difference for this patient, and her family.

Frequently Asked Questions

What is SENSORA™?

What features are included in SENSORA™?

Which stethoscopes does SENSORA™ work with?

What is SENSORA™ AI-supported analysis?

How much does SENSORA™ cost?

What are the benefits of upgrading to SENSORA™?

Is there a free trial available for SENSORA™?

How do I become a SENSORA™ member?

Will my SENSORA™ membership automatically renew?

Is SENSORA™ available in my country or region?

Can I share my SENSORA™ membership?

How often are new SENSORA™ features or updates added?

References
(1) Eko Health data on file
(2) Bachtiger, P., et al. (2022). Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled Stethoscope Examination in London, UK: A prospective, observational, multicentre study. The Lancet Digital Health, 4(2).
(3) Prince et al. Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease. Journal of American Heart Association, Vol.12 (2023): 20. 
(4) Gardezi et al. Cardiac auscultation in diagnosing valvular heart disease: a comparison between general practitioners and cardiologists. European Heart Journal, Vol. 38 (2017): 11552.

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