Name
Abstract | ||
|---|---|---|
Continuous followup of heart condition through long-term electrocardiogram monitoring is an invaluable tool for diagnosing some cardiac arrhythmias. In such context, providing tools for fast locating alterations of normal conduction patterns is mandatory and still remains an open issue. This paper presents a real-time method for adaptive clustering QRS complexes from multilead ECG signals that pro... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/JBHI.2014.2361659 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Electrocardiography,Databases,Morphology,Informatics,Noise,Real-time systems,Rhythm | Heartbeat,Pattern recognition,Computer science,Context based,Artificial intelligence,QRS complex,Temporal context,Noise detection,Merge (version control),Electrocardiography,Cluster analysis | Journal |
Volume | Issue | ISSN |
19 | 5 | 2168-2194 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Castro | 1 | 11 | 1.52 |
| P. Félix | 2 | 24 | 2.25 |
| J. Presedo | 3 | 36 | 9.06 |