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

Jiang, Lu; Li, Xiaoyang; Gao, Xiaorong; Wang, Yijun

doi:10.3389/fnhum.2022.834959

Cited by 6 publications

(3 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, a CCA-based spatial filter can be obtained and then the 8-channel data were processed by the CCA-based spatial filter. Lastly, the amplitude spectrum y(f) was calculated by fast Fourier Transform (FFT), and the SNR in decibels (dB) was defined as the ratio of y(f) to the mean value of the eight neighboring frequencies [40]. The flow chart of the calculation process is shown in Figure 3.…”

Section: G Bci Testmentioning

confidence: 99%

A Pre-Gelled EEG Electrode and Its Application in SSVEP-Based BCI

Zhang²,

Zha³

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

Self Cite

View full text Add to dashboard Cite

Electroencephalogram (EEG) electrodes are critical devices for brain-computer interface and neurofeedback. A pre-gelled (PreG) electrode was developed in this paper for EEG signal acquisition with a short installation time and good comfort. A hydrogel probe was placed in advance on the Ag/AgCl electrode before wearing the EEG headband instead of a time-consuming gel injection after wearing the headband. The impedance characteristics were compared between the PreG electrode and the wet electrode. The PreG electrode and the wet electrode performed the Brain-Computer Interface (BCI) application experiment to evaluate their performance. The average impedance of the PreG electrode can be decreased to 43 k or even lower, which is higher than the wet electrode with an impedance of 8 k. However, there is no significant difference in classification accuracy and information transmission rate (ITR) between the PreG electrode and the wet electrode in a 40 target BCI system based on Steady State Visually Evoked Potential (SSVEP). This study validated the efficiency of the proposed PreG electrode in the SSVEP-based BCI. The proposed PreG electrode will be an excellent substitute for wet electrodes in an actual application with convenience and good comfort.

show abstract

Section: G Bci Testmentioning

confidence: 99%

A Pre-Gelled EEG Electrode and Its Application in SSVEP-Based BCI

Zhang²,

Zha³

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the study to create a hybrid BCI (h-BCI) system, the authors used low-frequency stimulation (12 sessions, 0.8–2.12 Hz with an interval of 0.12 Hz), which evokes visual evoked potential (f-VEP) and pupillary reflex (PR) ( Jiang et al, 2022 ). The final hybrid accuracy was obtained using a decision fusion method to combine VEP and PR information.…”

Section: Paradigms Of Spellers: Bci-p300 Bci-mi and Bci-ssvepmentioning

confidence: 99%

Non-invasive EEG-based BCI spellers from the beginning to today: a mini-review

Maslova,

Komarova,

Shusharina

et al. 2023

Front. Hum. Neurosci.

View full text Add to dashboard Cite

The defeat of the central motor neuron leads to the motor disorders. Patients lose the ability to control voluntary muscles, for example, of the upper limbs, which introduces a fundamental dissonance in the possibility of daily use of a computer or smartphone. As a result, the patients lose the ability to communicate with other people. The article presents the most popular paradigms used in the brain-computer-interface speller system and designed for typing by people with severe forms of the movement disorders. Brain-computer interfaces (BCIs) have emerged as a promising technology for individuals with communication impairments. BCI-spellers are systems that enable users to spell words by selecting letters on a computer screen using their brain activity. There are three main types of BCI-spellers: P300, motor imagery (MI), and steady-state visual evoked potential (SSVEP). However, each type has its own limitations, which has led to the development of hybrid BCI-spellers that combine the strengths of multiple types. Hybrid BCI-spellers can improve accuracy and reduce the training period required for users to become proficient. Overall, hybrid BCI-spellers have the potential to improve communication for individuals with impairments by combining the strengths of multiple types of BCI-spellers. In conclusion, BCI-spellers are a promising technology for individuals with communication impairments. P300, MI, and SSVEP are the three main types of BCI-spellers, each with their own advantages and limitations. Further research is needed to improve the accuracy and usability of BCI-spellers and to explore their potential applications in other areas such as gaming and virtual reality.

show abstract

“…Such effects can be reduced with high frequency stimulation paradigms ( Sakurada et al, 2015 ) but high frequency stimulation can in turn reduce BCI performance ( Volosyak et al, 2011 ). Other methods like amplitude modulated signals ( Chang et al, 2014 ) or specific low frequency signals ( Jiang et al, 2022 ) have been reported to increase user experience as well. In addition, we have previously shown that FM stimulation signals with a high carrier frequency are less perceptible ( Dreyer and Herrmann, 2015 ) and more comfortable ( Dreyer et al, 2017 ) than traditionally used stimulation signals.…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Modulation Index on Frequency-Modulated Steady-State Visual Evoked Potentials

Dreyer

Heikkinen

Herrmann

2022

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Based on increased user experience during stimulation, frequency-modulated steady-state visual evoked potentials (FM-SSVEPs) have been suggested as an improved stimulation method for brain-computer interfaces. Adapting such a novel stimulation paradigm requires in-depth analyses of all different stimulation parameters and their influence on brain responses as well as the user experience during the stimulation. In the current manuscript, we assess the influence of different values for the modulation index, which determine the spectral distribution in the stimulation signal on FM-SSVEPs. We visually stimulated 14 participants at different target frequencies with four different values for the modulation index. Our results reveal that changing the modulation index in a way that elevates the stimulation power in the targeted sideband leads to increased FM-SSVEP responses. There is, however, a tradeoff with user experience as increased modulation indices also lead to increased perceived flicker intensity as well as decreased stimulation comfort in our participants. Our results can guide the choice of parameters in future FM-SSVEP implementations.

show abstract

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

Cited by 6 publications

References 56 publications

A Pre-Gelled EEG Electrode and Its Application in SSVEP-Based BCI

A Pre-Gelled EEG Electrode and Its Application in SSVEP-Based BCI

Non-invasive EEG-based BCI spellers from the beginning to today: a mini-review

The Influence of the Modulation Index on Frequency-Modulated Steady-State Visual Evoked Potentials

Contact Info

Product

Resources

About