Nonextensive entropy analysis of non-stationary ERP signals

Author

Shen, Minfen ; Zhang, Qianhua ; Beadle, P.J.

Author_Institution

Sci. Research Center, Shantou Univ., China

Volume

1

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

806

Abstract

The application of a measurement of entropy defined from the nonextensive entropy, the Tsallis-like time-dependent entropy (TDE), is proposed to investigate the event-related potential (ERPs). The TDE carries information about the degree of order or disorder associated with a multi-frequency signal response. The statistical characteristics of the TDE for different signal distributions are studied. TDE was estimated for the ERP signals recorded from several healthy subjects with a specified cognitive task. A significant decrease of entropy was correlated with the responses to target stimulus (P300). The experimental results indicate that the TDE can be employed as a quantitative measurement for monitoring the ERPs activities and other signal processing.

Keywords

bioelectric potentials; electroencephalography; entropy; medical signal processing; signal processing; statistical analysis; Tsallis-like time-dependent entropy; multi-frequency signal response; nonextensive entropy analysis; nonstationary event related potential signals; signal distributions; signal processing; Electroencephalography; Enterprise resource planning; Entropy; Microscopy; Monitoring; Signal analysis; Signal processing; Statistics; Thermodynamics; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1279398

Filename

1279398