Literature DB >> 31947290

A Four-Class Phase-Coded SSVEP BCI at 60Hz Using Refresh Rate.

Lu Jiang, Yijun Wang, Weihua Pei, Hongda Chen.   

Abstract

A four-class brain-computer interface (BCI) system based on steady-state visual evoked potentials (SSVEPs) was developed by presenting phase-coded 60Hz stimulations on a 240Hz LCD monitor. The task-related component analysis (TRCA) algorithm was used to detect SSVEPs with individual training data. In the BCI experiment with 10 subjects, the system achieved high classification accuracy of 94.50±6.70% and 92.71±7.56% in offline and online BCI experiments, resulting in information transfer rates (ITR) of 19.95±4.36 and 18.81±4.74 bpm, respectively. The behavioral tests on visual comfortableness and perception of flickering reveal that the proposed BCI system is very comfortable to use without any perception of flicker.

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Year:  2019        PMID: 31947290     DOI: 10.1109/EMBC.2019.8857326

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Five Shades of Grey: Exploring Quintary m-Sequences for More User-Friendly c-VEP-Based BCIs.

Authors:  Felix W Gembler; Aya Rezeika; Mihaly Benda; Ivan Volosyak
Journal:  Comput Intell Neurosci       Date:  2020-03-10

2.  A Hybrid Brain-Computer Interface Based on Visual Evoked Potential and Pupillary Response.

Authors:  Lu Jiang; Xiaoyang Li; Weihua Pei; Xiaorong Gao; Yijun Wang
Journal:  Front Hum Neurosci       Date:  2022-02-03       Impact factor: 3.169

  2 in total

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