| 心拍的镜像高斯建模分析 |
| |
| 引用本文： | 周群一. 心拍的镜像高斯建模分析[J]. 浙江科技学院学报, 2005, 17(4): 252-255 |
| |
| 作者姓名： | 周群一 |
| |
| 作者单位： | 浙江科技学院,信息与电子工程学院,浙江,杭州,310023 |
| |
| 摘 要： | 心拍分类对于临床心律失常自动化检测非常重要。使用一种新的镜像高斯模型(MGM)算法用于描述QRS复合波段形意,可以自动地、有效地提取QRS复合波段宽度信息,并用于心拍分类。通过使用MIT-BIH心律失常数据库的所有数据集进行测试,正常心拍的总识别率达到93.9%,室性早搏心拍的总识别率达到93.94%。因此,MGM算法可以很好地描述QRS复合波段,并且是一种很有前途的心拍分类算法。
|
| 关 键 词： | 心律失常 心拍分类 高斯多项式 镜像 建模 |
| 文章编号： | 1671-8798(2005)04-0252-04 |
| 收稿时间： | 2005-10-08 |
| 修稿时间： | 2005-10-08 |
Mirrored Gauss modeling of ECG beat |
| |
| ZHOU Qun-yi. Mirrored Gauss modeling of ECG beat[J]. Journal of Zhejiang University of Science and Technology, 2005, 17(4): 252-255 |
| |
| Authors: | ZHOU Qun-yi |
| |
| Affiliation: | School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 210023, China |
| |
| Abstract: | Accurate electrocardiogram(ECG) beat classification is essential for automated detection of arrhythmias.A novel classification algorithm of the ECG beats based on Mirrored Gauss Model(MGM) had been proposed in this paper.The MGM could represent the shape of QRS complex wave.With the MGM,the width of QRS complex wave could be extracted and applied to ECG beat classification easily,effectively and automatically.The experimental results by using all of ECG records in MIT-BIH Arrhythmia Database are that the whole classification accuracy is(93.93%) for normal beats and 93.94% for premature ventricular contraction(PVC) beats.Hence,MGM has strong morphological representation ability for QRS complex waves and is a promising algorithm for ECG beat classification. |
| |
| Keywords: | arrhythmia beat classification Gauss polynomial mirror modeling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
