Detecting Ventricular Fibrillation by Fast Algorithm of Dynamic Sample Entropy
文献类型：会议论文
| 作者 | Haiyan Li; Wenguang Han; Chao Hu; Max Q.-H. Meng |
| 出版日期 | 2009 |
| 会议名称 | 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009 |
| 英文摘要 | A key component in automatic external defibrillator (AED) is to discriminate ventricular fibrillation (VF) from non VF by means of appropriatedetection algorithms, which should have a high detection quality, be easily implementable, and work in real time. In this study, we presented a novel and computationally simple algorithm for VF detection using sample entropy (SampEn) method. To evaluate the accuracy of the proposedalgorithm, we analyzed the complete data sets from Creighton University Ventricular Tachyarrhythmia database (CUDB). We compared the sensitivity, specificity, positive prediction, accuracy and the area under its receiver operating characteristic curve (ROC) of the new algorithm with several earlier VF detection algorithms. The new algorithm proves to be well suited for short data sets analysis, which can reach an elegant balance between detection time and accuracy. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2473]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2009 |
| 推荐引用方式 GB/T 7714 | Haiyan Li,Wenguang Han,Chao Hu,et al. Detecting Ventricular Fibrillation by Fast Algorithm of Dynamic Sample Entropy[C]. 见:2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009. |
入库方式： OAI收割
来源：深圳先进技术研究院
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