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用于实际应用的动态稳态视觉诱发电位范式优化：具有协调轨迹和速度调制的低疲劳设计及游戏验证

Optimization of Dynamic SSVEP Paradigms for Practical Application: Low-Fatigue Design with Coordinated Trajectory and Speed Modulation and Gaming Validation.

作者信息

Huang Yan, Cao Lei, Chen Yongru, Wang Ting

机构信息

School of Information Engineering, Shanghai Maritime University, Shanghai 201306, China.

出版信息

Sensors (Basel). 2025 Jul 31;25(15):4727. doi: 10.3390/s25154727.

DOI:10.3390/s25154727
PMID:40807891
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12349208/
Abstract

Steady-state visual evoked potential (SSVEP) paradigms are widely used in brain-computer interface (BCI) systems due to their reliability and fast response. However, traditional static stimuli may reduce user comfort and engagement during prolonged use. This study proposes a dynamic stimulation paradigm combining periodic motion trajectories with speed control. Using four frequencies (6, 8.57, 10, 12 Hz) and three waveform patterns (sinusoidal, square, sawtooth), speed was modulated at 1/5, 1/10, and 1/20 of each frequency's base rate. An offline experiment with 17 subjects showed that the low-speed sinusoidal and sawtooth trajectories matched the static accuracy (85.84% and 83.82%) while reducing cognitive workload by 22%. An online experiment with 12 subjects participating in a fruit-slicing game confirmed its practicality, achieving recognition accuracies above 82% and a System Usability Scale score of 75.96. These results indicate that coordinated trajectory and speed modulation preserves SSVEP signal quality and enhances user experience, offering a promising approach for fatigue-resistant, user-friendly BCI application.

摘要

稳态视觉诱发电位（SSVEP）范式因其可靠性和快速响应而在脑机接口（BCI）系统中被广泛使用。然而，传统的静态刺激在长时间使用过程中可能会降低用户的舒适度和参与度。本研究提出了一种将周期性运动轨迹与速度控制相结合的动态刺激范式。使用四个频率（6、8.57、10、12赫兹）和三种波形模式（正弦波、方波、锯齿波），速度以每个频率基础速率的1/5、1/10和1/20进行调制。一项针对17名受试者的离线实验表明，低速正弦波和锯齿波轨迹在降低22%认知工作量的同时，匹配了静态刺激的准确率（分别为85.84%和83.82%）。一项有12名受试者参与水果切片游戏的在线实验证实了其实用性，识别准确率高于82%，系统可用性量表得分为75.96。这些结果表明，协调的轨迹和速度调制能够保持SSVEP信号质量并提升用户体验，为抗疲劳、用户友好型BCI应用提供了一种有前景的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/28ba2de32bc3/sensors-25-04727-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/c87043916d06/sensors-25-04727-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/832b73c2a1c0/sensors-25-04727-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/5bae8fe193b7/sensors-25-04727-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/24d939db6b9a/sensors-25-04727-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/7f87b0fa27e9/sensors-25-04727-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/df577decbd0c/sensors-25-04727-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/11a690c6b92e/sensors-25-04727-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/412d9b6dedd0/sensors-25-04727-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/a73953ed78a4/sensors-25-04727-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/28ba2de32bc3/sensors-25-04727-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/c87043916d06/sensors-25-04727-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/832b73c2a1c0/sensors-25-04727-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/5bae8fe193b7/sensors-25-04727-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/24d939db6b9a/sensors-25-04727-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/7f87b0fa27e9/sensors-25-04727-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/df577decbd0c/sensors-25-04727-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/11a690c6b92e/sensors-25-04727-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/412d9b6dedd0/sensors-25-04727-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/a73953ed78a4/sensors-25-04727-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/12349208/28ba2de32bc3/sensors-25-04727-g010.jpg

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本文引用的文献

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