Liu Ming, Wang Kangning, Chen Xiaogang, Zhao Jing, Chen Yuanyuan, Wang Huiquan, Wang Jinhai, Xu Shengpu
Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China.
School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China.
Front Neurorobot. 2020 Jan 8;13:101. doi: 10.3389/fnbot.2019.00101. eCollection 2019.
Brain-controlled wheelchair (BCW) has the potential to improve the quality of life for people with motor disabilities. A lot of training is necessary for users to learn and improve BCW control ability and the performances of BCW control are crucial for patients in daily use. In consideration of safety and efficiency, an indoor simulated training environment is built up in this paper to improve the performance of BCW control. The indoor simulated environment mainly realizes BCW implementation, simulated training scenario setup, path planning and recommendation, simulated operation, and scoring. And the BCW is based on steady-state visual evoked potentials (SSVEP) and the filter bank canonical correlation analysis (FBCCA) is used to analyze the electroencephalography (EEG). Five tasks include individual accuracy, simple linear path, obstacles avoidance, comprehensive steering scenarios, and evaluation task are designed, 10 healthy subjects were recruited and carried out the 7-days training experiment to assess the performance of the training environment. Scoring and command-consuming are conducted to evaluate the improvement before and after training. The results indicate that the average accuracy is 93.55% and improves from 91.05% in the first stage to 96.05% in the second stage ( = 0.001). Meanwhile, the average score increases from 79.88 in the first session to 96.66 in the last session and tend to be stable ( < 0.001). The average number of commands and collisions to complete the tasks decreases significantly with or without the approximate shortest path ( < 0.001). These results show that the performance of subjects in BCW control achieves improvement and verify the feasibility and effectiveness of the proposed simulated training environment.
脑控轮椅（BCW）有潜力改善运动障碍患者的生活质量。用户需要进行大量训练来学习和提高BCW控制能力，而BCW控制性能对患者的日常使用至关重要。考虑到安全性和效率，本文构建了一个室内模拟训练环境以提高BCW控制性能。该室内模拟环境主要实现BCW执行、模拟训练场景设置、路径规划与推荐、模拟操作及评分。并且BCW基于稳态视觉诱发电位（SSVEP），采用滤波器组典型相关分析（FBCCA）来分析脑电图（EEG）。设计了包括个体准确性、简单直线路径、避障、综合转向场景和评估任务在内的五项任务，招募了10名健康受试者并进行为期7天的训练实验，以评估训练环境的性能。通过评分和指令消耗来评估训练前后的改善情况。结果表明，平均准确率为93.55%，从第一阶段的91.05%提高到了第二阶段的96.05%（P = 0.001）。同时，平均得分从第一节课的79.88分提高到最后一节课的96.66分且趋于稳定（P < 0.001）。无论有无近似最短路径，完成任务的平均指令数和碰撞次数均显著减少（P < 0.001）。这些结果表明，受试者在BCW控制方面的表现得到了改善，验证了所提出的模拟训练环境的可行性和有效性。
