Name
Abstract | ||
|---|---|---|
In this paper, we present a patient-adaptable algorithm for ECG heartbeat classification, based on a previously developed automatic classifier and a clustering algorithm. Both classifier and clustering algorithms include features from the RR interval series and morphology descriptors calculated from the wavelet transform. Integrating the decisions of both classifiers, the presented algorithm can w... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TBME.2012.2202662 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Heart beat,Clustering algorithms,Databases,Electrocardiography,Electromagnetic compatibility,Vectors,Morphology | Heartbeat,Annotation,Heart beat,RR interval,Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Classifier (linguistics),Linear classifier,Cluster analysis,Wavelet transform | Journal |
Volume | Issue | ISSN |
59 | 8 | 0018-9294 |
Citations | PageRank | References |
23 | 1.18 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariano Llamedo | 1 | 110 | 6.79 |
| Juan Pablo Martínez | 2 | 39 | 4.21 |