Advancing the Understanding of Heart Disease Detection
Providing new insights into the causes and mechanisms underlying heart diseases through original research and published findings.
Bridging the Diagnostic Gap in Heart Disease
- Most patients with heart disease are asymptomatic.
- Physicians have limited front-line technology options to detect heart disease.
- Most advanced diagnostic tests are expensive and require referral.
- Payors often discourage advanced diagnostics for asymptomatic patients.
Clinical Publications
April 1, 2018Prediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG – JACC April 2018
Publications The spECG provides a robust prediction of abnormal myocardial relaxation. These data suggest a potential role for spECG as a novel screening strategy for identifying patients at risk for…
June 1, 2017Machine Learning Enabled ECG Wavelet Analysis as a Gatekeeper for Appropriate Evaluation of Diastolic Function by Echocardiography – JASE June 2017
Publications The prediction performance of continuous wavelet-transformed 12-lead hs-ECG (MyovistaTM, HeartSciences) with time–frequency-energy displays (Fig. 1A) for diagnosing the echocardiographic features of diastolic dysfunction was validated using machine-learning approaches with…
