Health Electronic Assessment of Risks and Trends using Biometric Equipment and Technology (HEARTBEAT): Study Design and Rationale

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ID: 325847
2026
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Abstract
Abstract Background Cardiovascular disease remains the leading driver of morbidity and mortality worldwide. As consumer smartwatches become ubiquitous, they offer a practical platform for continuous, real-world phenotyping, capturing passive and active biometrics that may detect occult disease and anticipate adverse cardiovascular events. Scaled deployment of these devices could enable remote screening, longitudinal monitoring, and earlier risk mitigation beyond traditional episodic care. Methods The HEARTBEAT study is a prospective, single-arm wearable study that has enrolled 897 participants since October 10, 2024. The primary objectives are to: (1) define associations between smartwatch-derived biometrics and incident cardiovascular events; (2) derive biometric profiles that support identification of underlying cardiometabolic and cardiovascular conditions; and (3) apply artificial intelligence to improve prediction of cardiovascular events. Participants are screened, consented, and enrolled in person or remotely. Data are captured through electronic medical record (EMR) extraction and a companion smartphone application. Participants are followed for 12 months, with outcomes adjudicated on an ongoing basis using EMR review and app-based surveys. Conclusions The HEARTBEAT study will test whether scalable, consumer-grade wearables can move from wellness tracking to clinically meaningful signal, identifying comorbidities and predicting adverse cardiovascular outcomes in routine care settings. If successful, the study will help establish an evidence base for smartwatches as validated digital health tools for remote screening and continuous cardiovascular monitoring.
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Authors Nassir F. Marrouche, Christian Massad, Han Feng, Ala Assaf, Mayana Bsoul, Yara Menassa, Ghassan Bidaoui, Qussay Marashly, Chanho Lim
Journal European Heart Journal - Digital Health
Year 2026
DOI
10.1093/ehjdh/ztag132
URL
https://doi.org/10.1093/ehjdh/ztag132
Keywords Keywords not found

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