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PCG Classification Using Multidomain Features and SVM Classifier
This paper proposes a method using multidomain features and support vector machine (SVM) for classifying normal and abnormal heart sound recordings. The database was provided by the PhysioNet/CinC Challenge 2016. A total of 515 features are extracted from nine feature domains, i.e., time interval, f...
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| 出版年: | Biomed Res Int |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6077676/ https://ncbi.nlm.nih.gov/pubmed/30112388 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/4205027 |
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