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	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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