Titlebook: Neural Information Processing. Models and Applications; 17th International C Kok Wai Wong,B. Sumudu U. Mendis,Abdesselam Bouzer Conference

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periodontitis

Radiation

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Utilizing Fuzzy-SVM and a Subject Database to Reduce the Calibration Time of P300-Based BCIferent subjects. Additionally, the duration of the calibration process should be long enough to sufficiently sample high dimensional feature spaces. In this study, we proposed a method based on Fuzzy Support Vector Machines (Fuzzy-SVM) to address both issues for P300-based BCI. We conducted P300 spe

nominal

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Toward Automated Electrode Selection in the Electronic Depth Control Strategy for Multi-unit Recordimpracticable for experimental neuroscientists. This increases the need for an automated selection of electrodes containing good quality signals. To motivate the automated selection, three experimenters were asked to assign quality scores, taking one of four possible values, to recordings containing

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A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentialswhich often need to be eliminated before further processing of EEG signals. Glossokinetic potentials are artifacts related to tongue movements. In this paper we use these glossokinetic artifacts (instead of eliminating them) to automatically detect and classify tongue positions, which is important i

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indoctrinate

Reliability-Based Automatic Repeat reQuest with Error Potential-Based Error Correction for Improving is often performed, which improves the spelling accuracy but degrades the spelling speed. The authors have proposed . (RB-ARQ) to ease this problem. RB-ARQ could be enhanced when it is combined with the error correction based on the error-related potentials. This paper presents how to combine both