Highly accurate ECG beat classification based on continuous wavelet transformation and multiple support vector machine classifiers

Erik Zellmer*, Fei Shang, Hao Zhang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

16 引用 (Scopus)

摘要

This paper presents a highly accurate ECG beat classification system. It uses continuous wavelet transformation combined with time domain morphology analysis to form three separate feature vectors from each beat. Each of these feature vectors are then used separately to train three different support vector machine (SVM) classifiers. During data classification each of the three classifiers independently classifies each beat; with the result of the multi classifier based classification system being decided by voting among the three independent classifiers. Using this method the multi classifier based system is able to reach an average accuracy of 99.72% in the classification of six types of beats. This accuracy is higher than the individual accuracy of any of the participating SVM classifiers as well as higher than previously presented ECG beat classification systems showing the effectiveness of the technique.

源语言英语
主期刊名Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
DOI
出版状态已出版 - 2009
活动2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 - Tianjin, 中国
期限: 17 10月 200919 10月 2009

出版系列

姓名Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009

会议

会议2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
国家/地区中国
Tianjin
时期17/10/0919/10/09

指纹

探究 'Highly accurate ECG beat classification based on continuous wavelet transformation and multiple support vector machine classifiers' 的科研主题。它们共同构成独一无二的指纹。

引用此

Zellmer, E., Shang, F., & Zhang, H. (2009). Highly accurate ECG beat classification based on continuous wavelet transformation and multiple support vector machine classifiers. 在 Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 文章 5305280 (Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009). https://doi.org/10.1109/BMEI.2009.5305280