Literature DB >> 21788179

An SSVEP-based BCI using high duty-cycle visual flicker.

Po-Lei Lee1, Chia-Lung Yeh, John Yung-Sung Cheng, Chia-Yen Yang, Gong-Yau Lan.   

Abstract

Steady-state visual-evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have generated significant interest due to their high information transfer rate (ITR). Due to the amplitude-frequency characteristic of the SSVEP, the flickering frequency of an SSVEP-based BCI is typically lower than 20  Hz to achieve a high SNR. However, a visual flicker with a flashing frequency below the critical flicker-fusion frequency often makes subjects feel flicker jerky and causes visual discomfort. This study presents a novel technique using high duty-cycle visual flicker to decrease user's visual discomfort. The proposed design uses LEDs flashing at 13.16  Hz, driven by flickering sequences consisting of repetitive stimulus cycles with a duration T (T = 76 ms). Each stimulus cycle included an ON state with a duration T(ON) and an OFF state with a duration T(OFF) (T = T(ON) + T(OFF)), and the duty cycle, defined as T(ON)/T, varied from 10.5% to 89.5%. This study also includes a questionnaire survey and analyzes the SSVEPs induced by different duty-cycle flickers. An 89.5% duty-cycle flicker, reported as a comfortable flicker, was adopted in a phase-tagged SSVEP system. Six subjects were asked to sequentially input a sequence of cursor commands with the 25.08-bits/min ITR.

Mesh:

Year:  2011        PMID: 21788179     DOI: 10.1109/TBME.2011.2162586

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Performance assessment in brain-computer interface-based augmentative and alternative communication.

Authors:  David E Thompson; Stefanie Blain-Moraes; Jane E Huggins
Journal:  Biomed Eng Online       Date:  2013-05-16       Impact factor: 2.819

2.  A Prototype SSVEP Based Real Time BCI Gaming System.

Authors:  Ignas Martišius; Robertas Damaševičius
Journal:  Comput Intell Neurosci       Date:  2016-03-09

3.  Toward New Modalities in VEP-Based BCI Applications Using Dynamical Stimuli: Introducing Quasi-Periodic and Chaotic VEP-Based BCI.

Authors:  Zahra Shirzhiyan; Ahmadreza Keihani; Morteza Farahi; Elham Shamsi; Mina GolMohammadi; Amin Mahnam; Mohsen Reza Haidari; Amir Homayoun Jafari
Journal:  Front Neurosci       Date:  2020-11-17       Impact factor: 4.677

4.  The Full Informational Spectral Analysis for Auditory Steady-State Responses in Human Brain Using the Combination of Canonical Correlation Analysis and Holo-Hilbert Spectral Analysis.

Authors:  Po-Lei Lee; Te-Min Lee; Wei-Keung Lee; Narisa Nan Chu; Yuri E Shelepin; Hao-Teng Hsu; Hsiao-Huang Chang
Journal:  J Clin Med       Date:  2022-07-04       Impact factor: 4.964

5.  Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector machine.

Authors:  Chia-Lung Yeh; Po-Lei Lee; Wei-Ming Chen; Chun-Yen Chang; Yu-Te Wu; Gong-Yau Lan
Journal:  Biomed Eng Online       Date:  2013-05-21       Impact factor: 2.819

6.  Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces.

Authors:  Teng Cao; Feng Wan; Chi Man Wong; Janir Nuno da Cruz; Yong Hu
Journal:  Biomed Eng Online       Date:  2014-03-12       Impact factor: 2.819

7.  EEG-Controlled Wall-Crawling Cleaning Robot Using SSVEP-Based Brain-Computer Interface.

Authors:  Lei Shao; Longyu Zhang; Abdelkader Nasreddine Belkacem; Yiming Zhang; Xiaoqi Chen; Ji Li; Hongli Liu
Journal:  J Healthc Eng       Date:  2020-01-11       Impact factor: 2.682

  7 in total

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