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Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification
Automatic feature extraction and classification are two main tasks in abnormal ECG beat recognition. Feature extraction is an important prerequisite prior to classification since it provides the classifier with input features, and the performance of classifier depends significantly on the quality of...
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| I publikationen: | Sci Rep |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Nature Publishing Group UK
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5519637/ https://ncbi.nlm.nih.gov/pubmed/28729684 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-06596-z |
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