Nonlinear Local Projection Technique for ECG

Author

Ren, Ming-rong ; Wang, Pu ; Zhang, Hui-qing

Author_Institution

Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing

fYear

2008

Firstpage

2195

Lastpage

2198

Abstract

The electrical activity of the heart shows complex dynamical behavior. This paper presents a nonlinear local projective noise reduction filter for electrocardiograms. In order to automatically detect the best neighborhood size of the projection, recurrence plots are used. The minimum gives a clear indication of the best size of the neighborhood in the embedding space. We also use the box-assisted algorithm to efficiently find nearest neighbors in m-dimensional space. The method successfully applied to ECG signals.

Keywords

bioelectric phenomena; electrocardiography; filtering theory; medical signal detection; medical signal processing; nonlinear filters; signal denoising; ECG; automatic signal detection; box-assisted algorithm; complex dynamical behavior; electrical activity; electrocardiograms; heart; m-dimensional space; nearest neighbors; neighborhood size; nonlinear local projection reduction filter; recurrence plots; Chaos; Control engineering; Delay; Electrocardiography; Heart; Noise measurement; Noise reduction; Nonlinear filters; Space technology; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1747-6

Electronic_ISBN

978-1-4244-1748-3

Type

conf

DOI

10.1109/ICBBE.2008.879

Filename

4535759