Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach | |
Li, Qiao; Rajagopalan, Cadathur; Clifford, Gari D. | |
刊名 | IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING |
2014 | |
卷号 | 61期号:6页码:1607-1613 |
关键词 | Machine learning public domain electrocardiogram (ECG) database support vector machine (SVM) ventricular fibrillation (VF) detection |
DOI | 10.1109/TBME.2013.2275000 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4803675 |
专题 | 山东大学 |
作者单位 | 1.Shandong Univ, Inst Biomed Engn, Sch Med, Jinan 250012, Peoples R China. 2.Univ Oxford, Dept Engn Sci, Inst |
推荐引用方式 GB/T 7714 | Li, Qiao,Rajagopalan, Cadathur,Clifford, Gari D.. Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2014,61(6):1607-1613. |
APA | Li, Qiao,Rajagopalan, Cadathur,&Clifford, Gari D..(2014).Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,61(6),1607-1613. |
MLA | Li, Qiao,et al."Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 61.6(2014):1607-1613. |
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