P300-Brain Computer Interface Based on Ordinal Analysis of Time Series

Author

Alhaddad, Mohammed J. ; Kamel, Mahmoud I. ; Bakheet, Dalal M.

Author_Institution

Fac. of Comput. & Inf. Technol., King Abdulaziz Univ., Jeddah, Saudi Arabia

Volume

1

fYear

2014

fDate

10-13 March 2014

Firstpage

458

Lastpage

465

Abstract

A brain computer interface (BCI) is a novel communication system that translates brain signals into control commands. In this paper, we present a P300 BCI system based on ordinal pattern features. Compared to BCI system based on linear time domain features, we have shown that slightly better classification accuracies and bitrates can be achieved for healthy and disabled subjects.

Keywords

brain-computer interfaces; electroencephalography; medical signal processing; time series; EEG signals; P300 BCI system; P300-brain computer interface; bitrate improvement; brain signal translation; classification accuracy improvement; communication system; control commands; disabled person; healthy person; ordinal pattern features; ordinal time series analysis; Delays; Electrodes; Electroencephalography; Entropy; Feature extraction; Time series analysis; Vectors; Brain Computer Interface; Nonlinear Analysis; Ordinal Analysis; P300; Pattern Recognition; and Signal Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Science and Computational Intelligence (CSCI), 2014 International Conference on

Conference_Location

Las Vegas, NV

Type

conf

DOI

10.1109/CSCI.2014.82

Filename

6822152