Targeting an efficient target-to-target interval for P300 speller brain-computer interfaces.

Medical & Biological Engineering & Computing
Jing JinXingyu Wang

Abstract

Longer target-to-target intervals (TTI) produce greater P300 event-related potential amplitude, which can increase brain-computer interface (BCI) classification accuracy and decrease the number of flashes needed for accurate character classification. However, longer TTIs requires more time for each trial, which will decrease the information transfer rate of BCI. In this paper, a P300 BCI using a 7 × 12 matrix explored new flash patterns (16-, 18- and 21-flash pattern) with different TTIs to assess the effects of TTI on P300 BCI performance. The new flash patterns were designed to minimize TTI, decrease repetition blindness, and examine the temporal relationship between each flash of a given stimulus by placing a minimum of one (16-flash pattern), two (18-flash pattern), or three (21-flash pattern) non-target flashes between each target flashes. Online results showed that the 16-flash pattern yielded the lowest classification accuracy among the three patterns. The results also showed that the 18-flash pattern provides a significantly higher information transfer rate (ITR) than the 21-flash pattern; both patterns provide high ITR and high accuracy for all subjects.

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Citations

Aug 29, 2014·Medical & Biological Engineering & Computing·Rebeca CorralejoRoberto Hornero
May 8, 2014·IEEE Reviews in Biomedical Engineering·Murat AkcakayaMelanie Fried-Oken
Mar 26, 2015·International Journal of Neural Systems·Jing JinAndrzej Cichocki
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Nov 30, 2019·Journal of Neural Engineering·Jelena MladenovicJeremie Mattout
Jul 14, 2020·Computational and Mathematical Methods in Medicine·Yu Wu, Ning Xie

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