Health AI Central
Peer-Reviewed Publication
Physiol Meas2026September 18, 2026Journal Article

Single-lead ECG biomarkers for cardiovascular and mortality risk prediction.

Lisa Attali1, Yosef Solewicz2, Shany Brimer Biton3, Hagai Hamami4, Eran Zvuloni4, Ilan Green5, Izhar Laufer6, Pablo Laguna7, Alba Martín-Yebra8, Juan Pablo Martínez9, Ronit Almog10, Joachim A Behar11
1Faculty of Biomedical Engineering, Technion-IIT, Technion city, 11, Haifa, 38000, Israel.
2Faculty of Biomedical Engineering, Technion-IIT, Haifa, Haifa, 38000, Israel.
3Technion Israel Institute of Technology, Technion city, Haifa, Haifa District, 3200003, Israel.
4Faculty of Biomedical Engineering, Technion-IIT, Technion city, Haifa, 38000, Israel.
5Leumit Health Care Services, Tel Aviv, Tel Aviv-Yafo, 64738, Israel.
6Leumit Health Services, Tel Aviv, Tel Aviv, 38000, Israel.
7Departmento de Ing Elect y Comunicaciones, Universidad de Zaragoza, C/maria de Luna 3 (Pol Actur), Zaragoza, 38000, Spain.
8IIS Arag ón, Arag ón Institute of Engineering Research (I3A), Zaragoza, Zaragoza, 38000, Spain.
9Departamento de Ingenieria Electronica y Comunicaciones, Universidad de Zaragoza, Campus Actur, Maria de Luna 1, Zaragoza, Aragon, 50018 , Spain.
10Epidemiology Unit, Rambam Health Care Campus, Haifa, Haifa, 31999, Israel.
11Biomedical Engineering Faculty, Technion Israel Institute of Technology, Technion city, Haifa, 32000, Israel.
PubMed DOI

Abstract

OBJECTIVE: Cardiovascular disease remains one of the leading causes of morbidity and mortality worldwide, highlighting the need for accurate risk prediction. Atrial fibrillation burden (AFB), premature ventricular contraction burden (PVCB), and T-wave alternans (TWA) have been individually associated with adverse outcomes. We hypothesized that these three digital ECG biomarkers provide complementa…

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