Atrial Activity Extraction for Atrial Fibrillation Analysis Using Mutual Information Minimization

Author

Xiao, Jiaying ; Chen, Zhencheng ; Huang, Zhongchao

Author_Institution

Inst. of Biomed. Eng., Central South Univ., Changsha

fYear

2007

fDate

6-8 July 2007

Firstpage

916

Lastpage

919

Abstract

In this paper, we develop a new non-invasive method for atrial activity estimation in atrial fibrillation (AF) analysis. Our central approach is base on minimization of mutual information. To establish an appreciate separation model for independent component analysis (ICA), statistical properties of bioelectric independent sources corresponding to the ventricular and atrial activity (AA) are analyzed. During evaluation with real AF data, the proposed method is validated using two spectral parameters extracted from AA signals: main peak frequency (MPF) and spectral concentration (SC). Our results show that MPF ranges from 3.63 to 7.56 Hz and SP has a mean of 42.73, which suggest that the proposed method for AA extraction is very efficient.

Keywords

electrocardiography; independent component analysis; medical signal processing; atrial activity; atrial activity extraction; atrial fibrillation analysis; bioelectric independent sources; independent component analysis; main peak frequency; mutual information minimization; noninvasive method; spectral concentration; statistics; surface ECG; ventricular; Atrial fibrillation; Biomedical engineering; Data mining; Discrete wavelet transforms; Electrocardiography; Independent component analysis; Information analysis; Minimization methods; Mutual information; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on

Conference_Location

Wuhan

Print_ISBN

1-4244-1120-3

Type

conf

DOI

10.1109/ICBBE.2007.238

Filename

4272722