scholarly journals An Efficient Frequency Recognition Method Based on Likelihood Ratio Test for SSVEP-Based BCI

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yangsong Zhang ◽  
Li Dong ◽  
Rui Zhang ◽  
Dezhong Yao ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Likelihood Ratio ◽  
Likelihood Ratio Test ◽  
Transfer Rate ◽  
Information Transfer ◽  
Time Window ◽  
Recognition Accuracy ◽  
Stimulus Frequency ◽  
Ratio Test ◽  
Recognition Method ◽  
Information Transfer Rate

An efficient frequency recognition method is very important for SSVEP-based BCI systems to improve the information transfer rate (ITR). To address this aspect, for the first time, likelihood ratio test (LRT) was utilized to propose a novel multichannel frequency recognition method for SSVEP data. The essence of this new method is to calculate the association between multichannel EEG signals and the reference signals which were constructed according to the stimulus frequency with LRT. For the simulation and real SSVEP data, the proposed method yielded higher recognition accuracy with shorter time window length and was more robust against noise in comparison with the popular canonical correlation analysis- (CCA-) based method and the least absolute shrinkage and selection operator- (LASSO-) based method. The recognition accuracy and information transfer rate (ITR) obtained by the proposed method was higher than those of the CCA-based method and LASSO-based method. The superior results indicate that the LRT method is a promising candidate for reliable frequency recognition in future SSVEP-BCI.

scholarly journals Vibrotactile Displaying of Flight Attitude with Combination of Multiple Coding Parameters

2017 ◽  
Author(s):  
Qiangqiang Ouyang ◽  
Juan Wu
Keyword(s):  
Reaction Time ◽  
Transfer Rate ◽  
Information Transfer ◽  
Recognition Accuracy ◽  
Systematic Investigation ◽  
Vibrotactile Feedback ◽  
Sensory Environment ◽  
Information Transfer Rate ◽  
Haptic Displays ◽  
Coding Method

Vibrotactile displays have been reported effective in enhancing awareness of flight attitude for pilots and releasing other heavily loaded sensory channels. Although some work have been done on vibrotactile coding of flight altitude, there is lack of a systematic investigation into coding methods with combination of multiple coding parameters. In this paper, seven coding methods with combinations of multiple coding parameters (location, rhythm, intensity, and mode) were systematically studied to cue flight attitude for pilots with a vibrotactile vest. We conducted two psychophysical experiments in a static tactile sensory environment in which the attitude commands in the form of vibrotactile feedback are presented randomly, and quantitatively evaluated the effectiveness of the vest according to the users’ recognition accuracy, reaction time and information transfer rate. The results show that vibrotactile vest is effective to cue attitude information. The preferred coding method with combinations of location, rhythm and mode allowed users to perform with lowest reaction time and highest recognition accuracy and yield about 255 bits/min of information transfer rate. Overall, the presented work provides valuable insights and guidance for the design of haptic displays for vibrotactile aids for the pilots.

scholarly journals In-Ear Electrode EEG for Practical SSVEP BCI

Technologies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 63
Author(s):  
Surej Mouli ◽  
Ramaswamy Palaniappan ◽  
Emmanuel Molefi ◽  
Ian McLoughlin
Keyword(s):  
Transfer Rate ◽  
Information Transfer ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Stimulus Frequency ◽  
Alternative Methods ◽  
Occipital Region ◽  
Computer Interfaces ◽  
Brain Signals ◽  
Information Transfer Rate

Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual stimulus frequency, it is possible to translate brain signals into external actions or signals. Traditionally, SSVEP data is collected from the occipital region using electrodes with or without gel, normally mounted on a head cap. In this experimental study, we develop an in-ear electrode to collect SSVEP data for four different flicker frequencies and compare against occipital scalp electrode data. Data from five participants demonstrates the feasibility of in-ear electrode based SSVEP, significantly enhancing the practicability of wearable BCI applications.

A likelihood ratio test for detecting patterns of disease-marker association

1997 ◽  
Vol 61 (4) ◽  
pp. 335-350 ◽  
Author(s):  
A. P. MORRIS ◽  
J. C. WHITTAKER ◽  
R. N. CURNOW
Keyword(s):  
Likelihood Ratio ◽  
Likelihood Ratio Test ◽  
Ratio Test ◽  
Disease Marker

A Likelihood Ratio Test of the Equality of Paired Survival Data with Censoring

1986 ◽  
Vol 28 (6) ◽  
pp. 665-672 ◽  
Author(s):  
R. G. Knapp ◽  
A. J. Gross ◽  
A. B. Cantor
Keyword(s):  
Likelihood Ratio ◽  
Likelihood Ratio Test ◽  
Survival Data ◽  
Ratio Test
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