@inproceedings{4a118554123a449faa4381dd08eb3884,
title = "A bipolar reference based BCI",
abstract = "Portable brain-computer interfaces (BCIs) have become a hot topic. An easily worn system is preferred, which means not too much channels are needed in the system. Here, bipolar reference (BPR) is applied to calculate features of motor imagery in electroencephalogram (EEG). This method lust uses a few channels of signals. It reflects both amplitude and phase information in EEG. In this paper, fisher linear discriminant analysis (FLDA) is used as the classification method. Recognition accuracies of using BP method and common spatial pattern (CSP) filtering method with different numbers of channels are given. Variance analysis for the classification rates have shown that BP method performed well as CSP when using only a few channels.",
keywords = "Bipolar reference, Brain computer interface, Common spatial pattern, Fisher linear discriminant analysis",
author = "Li Changsheng and Chen Minyou and Zhang Li and Liu Jing and Liu Wenqian",
note = "Publisher Copyright: CSREA Press {\textcopyright}.; 2018 International Conference on Artificial Intelligence, ICAI 2018 at 2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 ; Conference date: 30-07-2018 Through 02-08-2018",
year = "2018",
language = "English",
series = "2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Proceedings of the 2018 International Conference on Artificial Intelligence, ICAI 2018",
publisher = "CSREA Press",
pages = "472--475",
editor = "Arabnia, {Hamid R.} and {de la Fuente}, David and Kozerenko, {Elena B.} and Olivas, {Jose A.} and Tinetti, {Fernando G.}",
booktitle = "2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Proceedings of the 2018 International Conference on Artificial Intelligence, ICAI 2018",
}