Title :
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
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;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.82
