J Neural Eng. 2018 Jun;15(3):031004. doi: 10.1088/1741-2552/aab383. Epub 2018 Mar 2.
During the last few decades, substantial scientific and technological efforts have been focused on the development of neuroprostheses. The major emphasis has been on techniques for connecting the human nervous system with a robotic prosthesis via natural-feeling interfaces. The peripheral nerves provide access to highly processed and segregated neural command signals from the brain that can in principle be used to determine user intent and control muscles. If these signals could be used, they might allow near-natural and intuitive control of prosthetic limbs with multiple degrees of freedom. This review summarizes the history of neuroprosthetic interfaces and their ability to record from and stimulate peripheral nerves. We also discuss the types of interfaces available and their applications, the kinds of peripheral nerve signals that are used, and the algorithms used to decode them. Finally, we explore the prospects for future development in this area.
在过去的几十年中，大量的科学和技术努力都集中在神经假体的开发上。主要重点是研究通过自然感觉界面将人体神经系统与机器人假体连接的技术。周围神经提供了来自大脑的高度处理和分离的神经命令信号的通道，这些信号原则上可用于确定用户意图并控制肌肉。如果可以使用这些信号，它们可能允许对具有多个自由度的假肢进行近乎自然和直观的控制。这篇综述总结了神经假体接口的历史及其从周围神经记录和刺激的能力。我们还讨论了可用的接口类型及其应用，所使用的周围神经信号的类型以及用于解码它们的算法。最后，我们探讨了该领域未来发展的前景。
