神经假体
脑-机接口
接口(物质)
计算机科学
神经假体
神经调节
生物相容性材料
神经工程
可穿戴计算机
触觉传感器
人工神经网络
神经活动
人机交互
人工智能
机器人
嵌入式系统
神经科学
生物医学工程
工程类
脑电图
气泡
最大气泡压力法
刺激
并行计算
生物
作者
Annarita Cutrone,Silvestro Micera
标识
DOI:10.1002/adhm.201801345
摘要
Abstract Neuroprosthetics and neuromodulation represent a promising field for several related applications in the central and peripheral nervous system, such as the treatment of neurological disorders, the control of external robotic devices, and the restoration of lost tactile functions. These actions are allowed by the neural interface, a miniaturized implantable device that most commonly exploits electrical energy to fulfill these operations. A neural interface must be biocompatible, stable over time, low invasive, and highly selective; the challenge is to develop a safe, compact, and reliable tool for clinical applications. In case of anatomical impairments, neuroprosthetics is bound to the need of exploring the surrounding environment by fast‐responsive and highly sensitive artificial tactile sensors that mimic the natural sense of touch. Tactile sensors and neural interfaces are closely interconnected since the readouts from the first are required to convey information to the neural implantable apparatus. The role of these devices is pivotal hence technical improvements are essential to ensure a secure system to be eventually adopted in daily life. This review highlights the fundamental criteria for the design and microfabrication of neural interfaces and artificial tactile sensors, their use in clinical applications, and future enhancements for the release of a second generation of devices.
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