Four Novel Motion Paradigms Based on Steady-State Motion Visual Evoked Potential

Yan, Wenqiang; Xu, Guanghua; Xie, Jun; Li, Min; Dan, Ziyan

doi:10.1109/tbme.2017.2762690

Cited by 51 publications

(61 citation statements)

References 15 publications

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“…An overwhelming majority of the reported studies utilizes the CCA method for data analysis (e.g., [ 14 , 15 , 18 , 19 , 20 , 21 ]). Based on our previous experience with the minimum energy combination (MEC) method [ 7 , 8 , 25 , 26 ], we decided to evaluate it with the filter banks (FB) in a practical scenario (spelling task), similar to our previous studies implementing the SSMVEP1 or SSMVEP2 stimuli, where the FB-CCA [ 22 ] or CCA [ 6 ] methods were utilized.…”

Section: Materials and Methodsmentioning

confidence: 99%

“…In recent years, there has been growing interest in steady state motion visual evoked potentials (SSMVEPs), especially based on the motion-reversal patterns. One of the proposed solutions for this specific (motion-reversal) behavior is the use of oscillating Newton’s rings [ 14 , 15 , 16 ], an oscillation (contraction-expansion) of a circled checkerboard pattern [ 17 , 18 ] or a swing motion, a radial rotation and a spiral rotation [ 19 ]. Xie et al [ 14 ] tested six participants in an offline experiment with oscillating Newton’s rings-based stimulation.…”

Section: Introductionmentioning

confidence: 99%

“…For classification, the CCA and power spectrum density methods were used, reaching an average accuracy of 86.6% and 88.2%, respectively. In 2019, Yan et al compared four SSMVEP stimulation patterns; a swing movement, a radial rotation, a six-thread spiral rotation, and a concentric circled checkerboard with radial contraction-expansion [ 19 ]. Ten participants tested the four motion scenarios with frequencies ranging from 7–12.8 Hz (linearly separated with an interval of 0.2 Hz).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain–Computer Interfaces

Stawicki

Volosyak

2020

Brain Sciences

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Motion-based visual evoked potentials (mVEP) is a new emerging trend in the field of steady-state visual evoked potentials (SSVEP)-based brain–computer interfaces (BCI). In this paper, we introduce different movement-based stimulus patterns (steady-state motion visual evoked potentials—SSMVEP), without employing the typical flickering. The tested movement patterns for the visual stimuli included a pendulum-like movement, a flipping illusion, a checkerboard pulsation, checkerboard inverse arc pulsations, and reverse arc rotations, all with a spelling task consisting of 18 trials. In an online experiment with nine participants, the movement-based BCI systems were evaluated with an online four-target BCI-speller, in which each letter may be selected in three steps (three trials). For classification, the minimum energy combination and a filter bank approach were used. The following frequencies were utilized: 7.06 Hz, 7.50 Hz, 8.00 Hz, and 8.57 Hz, reaching an average accuracy between 97.22% and 100% and an average information transfer rate (ITR) between 15.42 bits/min and 33.92 bits/min. All participants successfully used the SSMVEP-based speller with all types of stimulation pattern. The most successful SSMVEP stimulus was the SSMVEP1 (pendulum-like movement), with the average results reaching 100% accuracy and 33.92 bits/min for the ITR.

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Section: Materials and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain–Computer Interfaces

Stawicki

Volosyak

2020

Brain Sciences

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“…Simon and Rassow [ 36 ] used a laser interferometer to generate interference fringes as the stimulus pattern. Zheng et al [ 7 ] designed a concentric-ring pattern with oscillating expansion and contraction to arouse steady-state motion visual evoked potential (SSMVEP), which had the properties of low sensitivity to changing contrast, low mental load, and less visual fatigue [ 37 , 38 , 39 ]. Tobimatsu et al [ 40 ] recorded transient and steady-state VEP to the reversal of checkerboard, square-wave grating, and sine-wave grating patterns to assess the contributions of the fundamental spatial frequency and higher harmonic segments, and recommended that the fundamental spatial frequency of the pattern affected the VEP response.…”

Section: Effects Of Visual Stimulimentioning

confidence: 99%

Assessment of Human Visual Acuity Using Visual Evoked Potential: A Review

Zheng

Liang

et al. 2020

Sensors

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Visual evoked potential (VEP) has been used as an alternative method to assess visual acuity objectively, especially in non-verbal infants and adults with low intellectual abilities or malingering. By sweeping the spatial frequency of visual stimuli and recording the corresponding VEP, VEP acuity can be defined by analyzing electroencephalography (EEG) signals. This paper presents a review on the VEP-based visual acuity assessment technique, including a brief overview of the technique, the effects of the parameters of visual stimuli, and signal acquisition and analysis of the VEP acuity test, and a summary of the current clinical applications of the technique. Finally, we discuss the current problems in this research domain and potential future work, which may enable this technique to be used more widely and quickly, deepening the VEP and even electrophysiology research on the detection and diagnosis of visual function.

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“… Xie et al (2012) designed a BCI paradigm using Newton’s rings based on steady-state motion visual evoked potential (SSMVEP) that increased the recognition accuracy to a favorable level ( Xie et al, 2014 ). Yan et al (2018) designed four novel stimulus paradigms based on basic motion modes and demonstrated that any stimulus paradigms with periodic motion can induce SSMVEPs. However, all these research studies on the SSMVEP used the low and medium frequency bands.…”

Section: Introductionmentioning

confidence: 99%

A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency

Zhang

et al. 2018

Front. Hum. Neurosci.

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The steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) usually has the advantages of high information transfer rate (ITR) and no need for training. However, low frequencies, such as the human stride motion frequency, cannot easily induce SSVEP. To solve this problem, a light spot humanoid motion paradigm modulated by the change of brightness was designed in this study. The characteristics of the brain response to the motion paradigm modulated by the change of brightness were analyzed for the first time. The results showed that the designed paradigm could induce not only the high flicker frequency but also the modulation frequencies between the change of brightness and the motion in the primary visual cortex. Thus, the stride motion frequency can be recognized through the modulation frequencies by using the designed paradigm. Also, in an online experiment, this paradigm was employed to control a lower limb robot to achieve same frequency stimulation, which meant that the visual stimulation frequency was the same as the motion frequency of the robot. Also, canonical correlation analysis (CCA) was used to distinguish three different stride motion frequencies. The average accuracies of the classification in three walking speeds using the designed paradigm with the same and different high frequencies reached 87 and 95% respectively. Furthermore, the angles of the knee joint of the robot were obtained to demonstrate the feasibility of the electroencephalograph (EEG)-driven robot with same stimulation.

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Four Novel Motion Paradigms Based on Steady-State Motion Visual Evoked Potential

Abstract: This study is an important extension to the existing SSMVEP-based BCI literature, and provides new insight to enable future design of the BCI paradigms.

Cited by 51 publications

References 15 publications

Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain–Computer Interfaces

Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain–Computer Interfaces

Assessment of Human Visual Acuity Using Visual Evoked Potential: A Review

A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency

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