Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan.
Gerontology. 2010;56(1):112-9. doi: 10.1159/000230807. Epub 2009 Jul 25.
Biomedical signal monitoring systems have rapidly advanced in recent years, propelled by significant advances in electronic and information technologies. Brain-computer interface (BCI) is one of the important research branches and has become a hot topic in the study of neural engineering, rehabilitation, and brain science. Traditionally, most BCI systems use bulky, wired laboratory-oriented sensing equipments to measure brain activity under well-controlled conditions within a confined space. Using bulky sensing equipments not only is uncomfortable and inconvenient for users, but also impedes their ability to perform routine tasks in daily operational environments. Furthermore, owing to large data volumes, signal processing of BCI systems is often performed off-line using high-end personal computers, hindering the applications of BCI in real-world environments. To be practical for routine use by unconstrained, freely-moving users, BCI systems must be noninvasive, nonintrusive, lightweight and capable of online signal processing. This work reviews recent online BCI systems, focusing especially on wearable, wireless and real-time systems.
近年来，生物医学信号监测系统在电子和信息技术的推动下迅速发展。脑机接口（BCI）是重要的研究分支之一，已成为神经工程、康复和脑科学研究的热点。传统上，大多数 BCI 系统使用笨重、有线的实验室导向传感设备，在受限空间内的受控条件下测量脑活动。使用笨重的传感设备不仅使用户感到不舒适和不便，还阻碍了他们在日常操作环境中执行常规任务的能力。此外，由于数据量大，BCI 系统的信号处理通常使用高端个人计算机离线进行，这阻碍了 BCI 在实际环境中的应用。为了实现无约束、自由移动用户的常规使用，BCI 系统必须是非侵入式、轻便的，并且能够进行在线信号处理。本工作综述了最近的在线 BCI 系统，特别关注可穿戴、无线和实时系统。
