Support Vector Machine Algorithm for Real-Time Detection of VF Signals

被引：3
|
作者：
Zhang, Chunyun [1 ]
Zhao, Jie [1 ]
Li, Fei [1 ]
Jia, Huilin [1 ]
Tian, Jie [1 ]
机构：
[1] Shandong Normal Univ, Coll Phys & Elect, Jinan, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON ENVIRONMENT SCIENCE AND BIOTECHNOLOGY (ICESB 2011) | 2011年 / 8卷
关键词：
ventricular fibrillation (VF); electrocardiogram (ECG); Time-Delay algorithm; Support vector machine (SVM);
D O I：
10.1016/j.proenv.2011.10.093
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
An algorithm for detecting ventricular fibrillation (VF) by the method of support vector machine is presented. The algorithm first extracts the feature of electrocardiogram in every 4s sliding window by the improved time delay method and the parameter d is obtained as feature; the support vector machine method is used to realize the discrimination of VF and non-VF signals. For evaluating the new algorithm, the complete BIH-MIT arrhythmia database and the CU database were used to simulate without any pre-selection. The sensitivity, specificity, positive predictability and accuracy were calculated and compared these values with results from an earlier investigation of several different ventricular fibrillation detection algorithms. It shows that the new algorithm has good performance and has greater advantages in real-time execution. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Asia-Pacific Chemical, Biological & Environmental Engineering Society (APCBEES)
引用
收藏
页码：602 / 608
页数：7
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