Eko Health, Inc.

John Prince

Subramaniam Venkatraman

Tyler Crouch

John Maidens

Niladri Bora

Jordan Crivelli-Decker

John Zorko

Richard N Blair

Neraj Bobra

George Mathew

Daniel Barbosa

The present description relates generally to methods and systems for detecting cardiovascular conditions using a foundation model. In one example, a method includes obtaining a synchronized ECG signal and a PCG signal from a patient, converting the PCG signal to a PCG mel-spectrogram, entering the ECG signal and the PCG mel-spectrogram as input to a trained specialized model configured to output a classification output based on the ECG signal and the PCG mel-spectrogram, the trained specialized model trained with labeled ECG and PCG signal pairs using a foundation model trained with unlabeled ECG and PCG signal pairs, and storing the classification output in memory and/or displaying the classification output on a display device.

Systems and methods for a foundation model for cardiac data

Various methods and systems are provided for an automated clinical exam workflow. In one example, method comprises performing a signal quality check of an electronic stethoscope at a first recording location on a subject, recording physiological data for an exam at the first recording location via the electronic stethoscope in response to the signal quality check satisfying a quality threshold, and outputting a signal quality alert in response to the signal quality check not satisfying the quality threshold. In this way, clinically relevant data may be obtained with reduced user effort and fewer manual inputs.

Methods and systems for automated clinical workflows

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John Prince