Xiao Qiang, Fan Lin Han, Ma Qian, Ning Yu Ming, Gu Ze, Chen Long, Li Lianlin, You Jian Wei, Niu Ya Feng, Cui Tie Jun
State Key Laboratory of Millimeter Waves and Institute of Electromagnetic Space, Southeast University, Nanjing, China.
Jiangsu Joint Laboratory of Multidimensional Perceptual Information Technology, Nanjing, China.
Nat Commun. 2025 Aug 25;16(1):7914. doi: 10.1038/s41467-025-63326-0.
Brain-computer interface (BCI) provides an interconnected pathway between the human brain and external devices and paves a potential route for mind manipulations. However, most existing BCI technologies are based on simple signal transmission and are independent of other interface devices, with limited consideration for the reliability and security of the human brain's information interaction in complicated wireless environments. Here, we propose a deep fusion coding scheme that combines the BCI visual stimulation coding with metasurface space-time coding at the physical layer, enabling reliable and secure information transfers between the human brain and external devices. A brain space-time-coding metasurface platform is designed to implement a secure wireless communication system by using harmonic-encrypted beams. We design and fabricate a proof-of-principle prototype and experimentally show that the proposed wireless BCI scheme can establish a remote but safeguarded paradigm for human-machine interactions and intelligent metasurfaces, providing a potential direction in future secure wireless communications.
脑机接口(BCI)为人脑与外部设备提供了一条互联通道,为思维操控开辟了一条潜在途径。然而,大多数现有的BCI技术基于简单的信号传输,且独立于其他接口设备,在复杂无线环境中对人脑信息交互的可靠性和安全性考虑有限。在此,我们提出一种深度融合编码方案,该方案在物理层将BCI视觉刺激编码与超表面时空编码相结合,实现人脑与外部设备之间可靠且安全的信息传输。设计了一个脑时空编码超表面平台,通过谐波加密波束实现安全无线通信系统。我们设计并制作了一个原理验证原型,实验表明,所提出的无线BCI方案可为人机交互和智能超表面建立一种远程且安全的模式,为未来安全无线通信提供了一个潜在方向。