Title
Asynchronous Control of P300-Based Brain-Computer Interfaces Using Sample Entropy.
Abstract
Brain-computer interfaces (BCI) have traditionally worked using synchronous paradigms. In recent years, much effort has been put into reaching asynchronous management, providing users with the ability to decide when a command should be selected. However, to the best of our knowledge, entropy metrics have not yet been explored. The present study has a twofold purpose: (i) to characterize both control and non-control states by examining the regularity of electroencephalography (EEG) signals; and (ii) to assess the efficacy of a scaled version of the sample entropy algorithm to provide asynchronous control for BCI systems. Ten healthy subjects participated in the study, who were asked to spell words through a visual oddball-based paradigm, attending (i.e., control) and ignoring (i.e., non-control) the stimuli. An optimization stage was performed for determining a common combination of hyperparameters for all subjects. Afterwards, these values were used to discern between both states using a linear classifier. Results show that control signals are more complex and irregular than non-control ones, reaching an average accuracy of 94.40% in classification. In conclusion, the present study demonstrates that the proposed framework is useful in monitoring the attention of a user, and granting the asynchrony of the BCI system.
Year
DOI
Venue
2019
10.3390/e21030230
ENTROPY
Keywords
Field
DocType
sample entropy,multiscale entropy,brain-computer interfaces,asynchrony,event-related potentials,P300-evoked potentials,oddball paradigm
Asynchronous communication,Mathematical optimization,Sample entropy,Hyperparameter,Event-related potential,Brain–computer interface,Oddball paradigm,Speech recognition,Linear classifier,Electroencephalography,Mathematics
Journal
Volume
Issue
ISSN
21
3
1099-4300
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Víctor Martínez-Cagigal133.11
Eduardo Santamaría-Vázquez232.10
Roberto Hornero360367.74