Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias
Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P Turakhia, Steven R Steinhubl, Giorgio Quer · 2023
Read Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias by Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P Turakhia, Steven R Steinhubl, Giorgio Quer (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10716265.txt.
Description
Matteo Gadaleta and six co-authors build a model that predicts a near-term risk of atrial fibrillation from home heart tracings, in a research paper from 2023. This irregular rhythm raises the risk of stroke and heart failure. In its on-and-off form, it can hide even during two weeks of monitoring.
The team trained a deep learning model on hundreds of thousands of patch recordings that showed no faulty rhythm. From just one clean day of tracing, plus age and rhythm features, the model sorted people by risk over the next two weeks with good accuracy. The authors say it could guide who gets longer or repeat monitoring, so treatment can start sooner.
Catalog record
| CREATOR | Matteo Gadaleta, Patrick Harrington, Eric Barnhill, Evangelos Hytopoulos, Mintu P Turakhia, Steven R Steinhubl, Giorgio Quer |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |