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Feature Selection for Interpatient Supervised Heart Beat Classification
Supervised and interpatient classification of heart beats is primordial in many applications requiring long-term monitoring of the cardiac function. Several classification models able to cope with the strong class unbalance and a large variety of feature sets have been proposed for this task. In pra...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi Publishing Corporation
2011
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3145344/ https://ncbi.nlm.nih.gov/pubmed/21808641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2011/643816 |
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