Predicting long-term risk of sudden cardiac death with automatic computer-interpretations of electrocardiogram
This proof-of-concept study shows that automatic interpretation of ECG identifies previously validated risk features for SCD.
Authors
- Juho Tynkkynen (ORCID: https://orcid.org/0000-0001-9882-9180)
- Minna Järvensivu-Koivunen (ORCID: https://orcid.org/0000-0002-9606-2710)
- Antti Kallonen (ORCID: https://orcid.org/0000-0001-6199-6356)
- Mark van Gils (ORCID: https://orcid.org/0000-0002-0029-1771)
- Leo‐Pekka Lyytikäinen (ORCID: https://orcid.org/0000-0002-7200-5455)
- Jussi Hernesniemi (ORCID: https://orcid.org/0000-0002-8111-6421)
Institutions
- Tampere University (FI)
- Tampere University Hospital (FI)
- Tampere University (FI)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2024-10-23
- DOI
- https://doi.org/10.3389/fcvm.2024.1439069
- Citations
- 1
- Primary Topic
- Cardiac electrophysiology and arrhythmias
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Sydäntutkimussäätiö
- Pirkanmaan Rahasto