Unsupervised clustering of single-lead electrocardiograms associates with prevalent and incident heart failure in coronary artery disease
Our approach identified a cluster of individuals with CAD sharing ECG characteristics indicating HF risk, holding significant implications for targeted treatment and prevention enabling accessible large-scale screening.
Authors
- Ana Mincholé (ORCID: https://orcid.org/0000-0003-3183-4107)
- Patricia B. Munroe (ORCID: https://orcid.org/0000-0002-4176-2947)
- Julia Ramírez (ORCID: https://orcid.org/0000-0003-4130-5866)
- William J. Young (ORCID: https://orcid.org/0000-0002-9831-6817)
- Stefan van Duijvenboden (ORCID: https://orcid.org/0000-0001-8897-558X)
- Michele Orini (ORCID: https://orcid.org/0000-0001-5773-0344)
- Josseline Madrid (ORCID: https://orcid.org/0009-0003-0540-6560)
Institutions
- St Bartholomew's Hospital (GB)
- Queen Mary University of London (GB)
- Barts Health NHS Trust (GB)
- Universidad de Zaragoza (ES)
- University of Oxford (GB)
- Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES)
- Institute of Engineering (NP)
- William Harvey Research Institute (GB)
- University College London (GB)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1093/ehjdh/ztaf013
- Citations
- 1
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Queen Mary University of London
- National Institute for Health and Care Research
- Ministerio de Ciencia e Innovación
- Universidad de Zaragoza
- St George's University Hospitals NHS Foundation Trust
- Barts Health NHS Trust
- Agencia Estatal de Investigación