A Novel Data Fusion Algorithm for Multivariate Time Series

被引：0
|
作者：
Diao, Chen [1 ,2 ]
Wang, Bin [1 ,2 ]
Cai, Ning [1 ,2 ]
机构：
[1] Northwest Minzu Univ, Sch Elect Engn, Lanzhou 730030, Peoples R China
[2] MOE Key Lab Chinas Natl Linuist Informat Technol, Lanzhou 730030, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
关键词：
ECG signal; Quality assessment; Data fusion; ELECTROCARDIOGRAM; MODEL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel fusion data algorithm is proposed. In the method, multi-lead ECG signals are appropriately converted to a single -lead physiological signal via the idea of the local weighted linear prediction algorithm. Experimental results indicate that the algorithm can obtain desirable results on synthetic ECG signals.
引用
收藏
页码：6331 / 6333
页数：3
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