Enhancing Performance and Bit Rates in a Brain-Computer Interface System With Phase-to-Amplitude Cross-Frequency Coupling: Evidences From Traditional c-VEP, Fast c-VEP, and SSVEP Designs

被引:9
作者
Dimitriadis, Stavros I. [1 ,2 ,3 ,4 ,5 ]
Marimpis, Avraam D. [6 ]
机构
[1] Cardiff Univ, Sch Med, Div Psychol Med & Clin Neurosci, Cardiff, S Glam, Wales
[2] Cardiff Univ, Sch Psychol, Brain Res Imaging Ctr, Cardiff, S Glam, Wales
[3] Cardiff Univ, Sch Psychol, Cardiff, S Glam, Wales
[4] Cardiff Univ, Sch Psychol, Brain Res Imaging Ctr, Neuroinformat Grp, Cardiff, S Glam, Wales
[5] Cardiff Univ, Neurosci & Mental Hlth Res Inst, Cardiff, S Glam, Wales
[6] Brain Innovat BV, Maastricht, Netherlands
来源
FRONTIERS IN NEUROINFORMATICS | 2018年 / 12卷
关键词
brain-computer interface; c-VEP; SSVEP; disabled subjects; cross-frequency coupling; accuracy; phase-to-amplitude coupling; performance; BCI COMPETITION 2003; DATA SET IIB; NEURONAL OSCILLATIONS; COMPONENT ANALYSIS; FLICKER FREQUENCY; EEG SIGNAL; RHYTHMS; ATTENTION; TIME; CLASSIFICATION;
D O I
10.3389/fninf.2018.00019
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A brain-computer interface (BCI) is a channel of communication that transforms brain activity into specific commands for manipulating a personal computer or other home or electrical devices. In other words, a BCI is an alternative way of interacting with the environment by using brain activity instead of muscles and nerves. For that reason, BCI systems are of high clinical value for targeted populations suffering from neurological disorders. In this paper, we present a new processing approach in three publicly available BCI data sets: (a) a well-known multi-class (N = 6) coded-modulated Visual Evoked potential (c-VEP)-based BCI system for able-bodied and disabled subjects; (b) a multi-class (N = 32) c-VEP with slow and fast stimulus representation; and (c) a steady-state Visual Evoked potential (SSVEP) multi-class (N = 5) flickering BCI system. Estimating cross-frequency coupling (CFC) and namely delta-theta [delta: (0.5-4Hz), theta: (4-8Hz)] phase-to-amplitude coupling (PAC) within sensor and across experimental time, we succeeded in achieving high classification accuracy and Information Transfer Rates (ITR) in the three data sets. Our approach outperformed the originally presented ITR on the three data sets. The bit rates obtained for both the disabled and able-bodied subjects reached the fastest reported level of 324 bits/min with the PAC estimator. Additionally, our approach outperformed alternative signal features such as the relative power (29.73 bits/min) and raw time series analysis (24.93 bits/min) and also the original reported bit rates of 10-25 bits/min. In the second data set, we succeeded in achieving an average ITR of 124.40 +/- 11.68 for the slow 60Hz and an average ITR of 233.99 +/- 15.75 for the fast 120Hz. In the third data set, we succeeded in achieving an average ITR of 106.44 +/- 8.94. Current methodology outperforms any previous methodologies applied to each of the three free available BCI datasets.
引用
收藏
页数:19
相关论文
共 72 条
[1]  
[Anonymous], 1999, Advances in kernel methods: Support vector learning
[2]   Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury [J].
Antonakakis, Marios ;
Dimitriadis, Stavros I. ;
Zervakis, Michalis ;
Micheloyannis, Sifis ;
Rezaie, Roozbeh ;
Babajani-Feremi, Abbas ;
Zouridakis, George ;
Papanicolaou, Andrew C. .
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2016, 102 :1-11
[3]   Use of the evoked potential P3 component for control in a virtual apartment [J].
Bayliss, JD .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2003, 11 (02) :113-116
[4]   VEP-Based Brain-Computer Interfaces: Time, Frequency, and Code Modulations [J].
Bin, Guangyu ;
Gao, Xiaorong ;
Wang, Yijun ;
Hong, Bo ;
Gao, Shangkai .
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2009, 4 (04) :22-26
[5]  
BRAGIN A, 1995, J NEUROSCI, V15, P47
[6]   Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms [J].
Buzsaki, Gyoergy ;
Logothetis, Nikos ;
Singer, Wolf .
NEURON, 2013, 80 (03) :751-764
[7]   Neural Syntax: Cell Assemblies, Synapsembles, and Readers [J].
Buzsaki, Gyoergy .
NEURON, 2010, 68 (03) :362-385
[8]  
Cai D., 2010, 16 ACM SIGKDD C KNOW
[9]   High gamma power is phase-locked to theta oscillations in human neocortex [J].
Canolty, R. T. ;
Edwards, E. ;
Dalal, S. S. ;
Soltani, M. ;
Nagarajan, S. S. ;
Kirsch, H. E. ;
Berger, M. S. ;
Barbaro, N. M. ;
Knight, R. T. .
SCIENCE, 2006, 313 (5793) :1626-1628
[10]   The functional role of cross-frequency coupling [J].
Canolty, Ryan T. ;
Knight, Robert T. .
TRENDS IN COGNITIVE SCIENCES, 2010, 14 (11) :506-515