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[Indoor simulation training system for brain-controlled wheelchair based on steady-state visual evoked potentials].

Jinhai Wang1, Kangning Wang2, Xiaogang Chen3

  • 1School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, P.R.China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|June 30, 2020
PubMed
Summary

This study developed an indoor simulation training system for brain-controlled wheelchairs (BCW) using steady-state visual evoked potentials. Training significantly improved user control efficiency and proficiency, demonstrating the system's practicality for BCW application.

Keywords:
brain-computer interfacebrain-controlled wheelchairsimulation trainingsteady-state visual evoked potentials

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Area of Science:

  • Neuroscience
  • Rehabilitation Engineering
  • Human-Computer Interaction

Background:

  • Brain-controlled wheelchair (BCW) technology is a key application of brain-computer interfaces (BCI).
  • Simulation control training is crucial for enhancing BCW user capabilities and safe application.
  • Existing BCW systems require effective training methods to improve user proficiency.

Purpose of the Study:

  • To develop and evaluate an indoor simulation training system for BCW based on steady-state visual evoked potentials (SSVEP).
  • To assess the impact of the simulation training system on user control performance and efficiency.
  • To validate the system's practicability and its role as an assistive method for indoor BCW use.

Main Methods:

  • Designed and implemented an indoor simulation training system incorporating SSVEP.
  • The system included visual stimulus paradigm, EEG acquisition/processing, environment modeling, path planning, and wheelchair control simulation.
  • Conducted a 5-day training experiment with 10 subjects performing three indoor path-control tasks.

Main Results:

  • Post-training, the average number of commands decreased significantly across tasks: Task 1 (29.5%), Task 2 (21.4%), and Task 3 (25.4%) (P < 0.001).
  • Overall command usage for task completion reduced by 25.4% (P < 0.001).
  • Results indicate a significant improvement in user proficiency and efficiency in BCW control after simulation training.

Conclusions:

  • The developed indoor simulation training system effectively enhances BCW control proficiency and efficiency.
  • The system's practicability is validated, offering an effective assistive method for promoting indoor BCW applications.
  • Simulation-based training is vital for improving user performance in brain-computer interface applications like BCW.