Non-Linear Analysis of Event-Related Potential Signal Based on Recurrent Plot Approach

Author

Wu Zhen ; Wang Junsong ; Shen Deli ; Bai Xuejun

Author_Institution

Tianjin Univ. of Technol. & Educ., Tianjin, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

5

Abstract

We present new measures of complexity and their application to event-related potential data, which are based on structures of recurrence plots. Recurrence plots (RP) method is effectively applied to ERP signal to study the dynamics of the complex underlying behavior, in terms of assessing non-stationary transitions over time, and dynamic phase transition observed in the ERP signal, which provide a graphical representation of the recurrent patterns in a time series. The simulation results have shown that the proposed method is effective.

Keywords

bioelectric potentials; brain; medical diagnostic computing; medical signal processing; dynamic phase transition; event-related brain potentials; event-related potential signal; nonlinear analysis; nonstationary transitions; recurrent patterns; recurrent plot approach; Brain modeling; Delay effects; Delay estimation; Educational technology; Electrodes; Enterprise resource planning; Phase measurement; Signal analysis; Time series analysis; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4132-7

Electronic_ISBN

978-1-4244-4134-1

Type

conf

DOI

10.1109/BMEI.2009.5305378

Filename

5305378