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QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases
The performance of computer aided ECG analysis depends on the precise and accurate delineation of QRS-complexes. This paper presents an application of K-Nearest Neighbor (KNN) algorithm as a classifier for detection of QRS-complex in ECG. The proposed algorithm is evaluated on two manually annotated...
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| Veröffentlicht in: | J Adv Res |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4293876/ https://ncbi.nlm.nih.gov/pubmed/25685438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jare.2012.05.007 |
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