Saha Simanto, Mamun Khondaker A, Ahmed Khawza, Mostafa Raqibul, Naik Ganesh R, Darvishi Sam, Khandoker Ahsan H, Baumert Mathias
School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
Department of Electrical and Electronic Engineering, United International University, Dhaka, Bangladesh.
Front Syst Neurosci. 2021 Feb 25;15:578875. doi: 10.3389/fnsys.2021.578875. eCollection 2021.
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics, gaming, and neuroscience. Significant research efforts on a global scale have delivered common platforms for technology standardization and help tackle highly complex and non-linear brain dynamics and related feature extraction and classification challenges. Time-variant psycho-neurophysiological fluctuations and their impact on brain signals impose another challenge for BCI researchers to transform the technology from laboratory experiments to plug-and-play daily life. This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.
脑机接口(BCI)在大脑与计算机或其他外部设备之间提供了直接的通信链路。它们通过增强或替代人类外周工作能力来提供更大程度的自由度,并在康复、情感计算、机器人技术、游戏和神经科学等各个领域具有潜在应用。全球范围内的大量研究工作已经为技术标准化提供了通用平台,并有助于应对高度复杂和非线性的脑动力学以及相关的特征提取和分类挑战。时变的心理神经生理波动及其对脑信号的影响给BCI研究人员带来了另一项挑战,即要将该技术从实验室实验转化为即插即用的日常生活应用。本综述总结了过去几十年BCI领域的最新进展,并突出了关键挑战。