Name
Title | ||
|---|---|---|
Semi-Supervised vs. Supervised Learning for Discriminating Atrial Flutter Mechanisms Using the 12-lead ECG |
Abstract | ||
|---|---|---|
Atrial flutter (AFl) is a common heart rhythm disorder driven by different self-sustaining electrophysiological atrial mechanisms. In this work, we tried to automatically distinguish the macro-mechanism sustaining the arrhythmia in an individual patient using the non-invasive 12-lead electrocardiogram (ECG). We implemented a concurrent clustering and classification algorithm (CCC) to discriminate ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/CinC53138.2021.9662849 | 2021 Computing in Cardiology (CinC) |
Keywords | DocType | Volume |
Electric potential,Heart beat,Supervised learning,Electrocardiography,Complexity theory,Classification algorithms,Cardiology | Conference | 48 |
ISBN | Citations | PageRank |
978-1-6654-7916-5 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giorgio Luongo | 1 | 0 | 0.34 |
| Steffen Schuler | 2 | 0 | 0.34 |
| Massimo W Rivolta | 3 | 0 | 0.68 |
| Olaf Dössel | 4 | 264 | 56.10 |
| Roberto Sassi | 5 | 0 | 1.01 |
| Axel Loewe | 6 | 1 | 1.03 |