Name
Title | ||
|---|---|---|
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches |
Abstract | ||
|---|---|---|
•We proposed different machine learning models for atrial fibrillation detection.•Ensemble learning methods are compared with single classifiers.•The models were trained and validated on two different publicly available databases.•Ensemble models perform better for short-term detection of atrial fibrillation. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ijmedinf.2022.104790 | International Journal of Medical Informatics |
Keywords | DocType | Volume |
Atrial fibrillation,Cardiac arrhythmias,Classification,Electrocardiogram (ECG),Machine learning | Journal | 163 |
ISSN | Citations | PageRank |
1386-5056 | 1 | 0.36 |
References | Authors | |
17 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masud Shah Jahan | 1 | 1 | 0.36 |
| Marjan Mansourvar | 2 | 2 | 3.44 |
| Sadasivan Puthusserypady | 3 | 181 | 27.49 |
| Uffe Kock Wiil | 4 | 865 | 94.54 |
| Abdolrahman Peimankar | 5 | 1 | 0.36 |