自适应脑机接口研究综述

A Review of Adaptive Brain-Computer Interface Research

脑机接口(BCI)不依赖于外周神经和肌肉,在大脑与外部设备之间建立起直接交流的通路。近年来,该技术在识别准确率和系统交互速率方面已取得巨大突破。然而,脑电(EEG)信号非平稳特性较强且用户主观状态波动较大,传统脑机接口技术对大脑活动的动态变化欠缺适应性,影响了脑机接口系统的控制稳定性,也限制了其智能化发展和应用。自适应脑机接口可根据大脑当前状态动态调整诱发范式和实时更新识别模型,从而增强脑控系统对非平稳大脑活动的适应性,提高其控制精度和鲁棒性,实现更加实用化的脑控系统,对推动脑机接口技术进一步发展极具意义。该文对自适应脑机接口的相关研究进行了回顾和总结,并对该技术未来发展的方向进行了展望。

Brain-Computer Interface(BCI)establishes a direct communication pathway between the brain and external devices without relying on peripheral nerves and muscles.In recent years,great breakthroughs in recognition accuracy and system interaction rate have been made by this technology.However,the nonstationary characteristics of ElectroEncephaloGram(EEG)signals are strong and the user's subjective state fluctuates greatly.Traditional BCI technology lacks adaptability to the dynamic changes of brain activity,so the control stability of the BCI system is affected and its intelligence development and application are limited.The adaptive BCI can dynamically adjust the evoked paradigm and update the recognition model in real time according to the current state of the brain,thereby enhancing the adaptability of the brain control system to non-stationary brain activities,improving its control accuracy and robustness,and achieving a more practical brain control system,which is highly meaningful to push the further development of BCI technology.The related research of adaptive BCI is reviewed and summarized in this paper,and an outlook of the future development direction of this technology is given.