Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
Sensors (Basel). 2021 Jun 23;21(13):4293. doi: 10.3390/s21134293.
There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the current BCI systems are based on a personal computer. However, there is a tremendous interest in the implementation of BCIs on a portable platform, which has a small size, faster to load, much lower price, lower resources, and lower power consumption than those for full PCs. Depending on the complexity of the signal processing algorithms, it may be more suitable to work with slow processors because there is no need to allow excess capacity of more demanding tasks. So, in this review, we provide an overview of the BCIs development and the current available technology before discussing experimental studies of BCIs.
有一个广泛的应用领域使用大脑活动来恢复严重运动障碍患者的能力，实际上这样的系统数量一直在增加。目前大多数的脑机接口系统都是基于个人计算机的。然而，人们对在便携式平台上实现脑机接口非常感兴趣，因为它体积小、加载速度快、价格低、资源少、功耗低，与全尺寸 PC 相比有很大优势。根据信号处理算法的复杂程度，使用速度较慢的处理器可能更合适，因为不需要为更苛刻的任务留出多余的容量。因此，在讨论脑机接口的实验研究之前，我们在这篇综述中提供了脑机接口发展和现有技术的概述。
