The present study has a twofold purpose: (i) to characterize both control and non-control states by examining the regularity of electroencephalography (EEG) ...
The present study has a twofold purpose: (i) to characterize both control and non-control states by examining the regularity of ...
Feb 25, 2019 · Results show that control signals are more complex and irregular than non-control ones, reaching an average accuracy of 94.40 % in ...
This corrects the article "Asynchronous Control of P300-Based Brain–Computer Interfaces Using Sample Entropy" in volume 21, 230. Figure 5 of the original paper ...
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Asynchronous Control of P300-Based Brain–Computer Interfaces Using Sample Entropy. Entropy 2019, 21, 230. Entropy 2020, 22, 505. https://doi.org/10.3390/ ...
Oct 22, 2024 · Asynchronous Control of P300-Based Brain–Computer Interfaces Using Sample Entropy. February 2019 · Entropy. Víctor Martínez-Cagigal ...
A novel P300-based A-BCI algorithm that distinguishes control state and noncontrol state of users is proposed and combined with a dynamic stopping function ...
This study was aimed to propose a novel method to solve this problem, taking advantage of deep learning for the first time in this context.
This paper presents an electroencephalo- graphic (EEG) P300-based brain–computer interface (BCI) Internet browser. The system uses the “odd-ball” row-col ...
Toward a Hybrid BCI: Self-Paced Operation of a P300-based Speller ...
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Jan 6, 2017 · This study presents the self-paced operation of a brain–computer interface (BCI) speller, which can be voluntarily turned on/off by merging ...