Open Access Open Access  Restricted Access Subscription Access

A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity


Affiliations
1 College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2 School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
 

Fetal electrocardiogram (FECG) extraction is an important issue in biomedical signal processing. In this paper, we develop an objective function for extraction of FECG. The objective function is based on the non-Gaussianity and the temporal structure of source signals. Maximizing the objective function, we can extract the desired FECG. Combining with the solution vector obtained by maximizing the objective function, we further improve the accuracy of the extracted FECG. In addition, the feasibility of the innovative methods is analyzed by mathematical derivation theoretically and the efficiency of the proposed approaches is illustrated with the computer simulations experimentally.
User
Notifications
Font Size

Abstract Views: 101

PDF Views: 2




  • A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity

Abstract Views: 101  |  PDF Views: 2

Authors

Yibing Li
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
Wei Nie
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
Fang Ye
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
Ao Li
School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China

Abstract


Fetal electrocardiogram (FECG) extraction is an important issue in biomedical signal processing. In this paper, we develop an objective function for extraction of FECG. The objective function is based on the non-Gaussianity and the temporal structure of source signals. Maximizing the objective function, we can extract the desired FECG. Combining with the solution vector obtained by maximizing the objective function, we further improve the accuracy of the extracted FECG. In addition, the feasibility of the innovative methods is analyzed by mathematical derivation theoretically and the efficiency of the proposed approaches is illustrated with the computer simulations experimentally.