Parker Samuel R, Lee Xavier J, Calvert Jonathan S, Borton David A
Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, United States of America.
School of Engineering, Brown University, Providence, RI, United States of America.
J Neural Eng. 2025 Mar 11;22(2):026012. doi: 10.1088/1741-2552/adb7bf.
Advances in electronics and materials science have led to the development of sophisticated components for clinical and research neurotechnology systems. However, instrumentation to easily evaluate how these components function in a complete system does not yet exist. In this work, we set out to design and validate a software-defined mixed-signal routing fabric, 'xDev', that enables neurotechnology system designers to rapidly iterate, evaluate, and deploy advanced multi-component systems.We developed a set of system requirements for xDev, and implemented a design based on a 16 × 16 analog crosspoint multiplexer. We then tested the impedance and switching characteristics of the design, assessed signal gain and crosstalk attenuation across biological and high-speed digital signaling frequencies, and evaluated the ability of xDev to flexibly reroute microvolt-scale amplitude and high-speed signals. Finally, we conducted an intraoperativedeployment of xDev to rapidly conduct neuromodulation experiments using diverse neurotechnology submodules.The xDev system impedance matching, crosstalk attenuation, and frequency response characteristics accurately transmitted signals over a broad range of frequencies, encapsulating features typical of biosignals and extending into high-speed digital ranges. Microvolt-scale biosignals and 600 Mbps Ethernet connections were accurately routed through the fabric. These performance characteristics culminated in andemonstration of the flexibility of the system via implanted spinal electrode arrays in an ovine model.xDev represents a first-of-its-kind, low-cost, software-defined neurotechnology development accelerator platform. Through the public, open-source distribution of our designs, we lower the obstacles facing the development of future neurotechnology systems.
电子学和材料科学的进步推动了用于临床和研究神经技术系统的精密组件的发展。然而,目前还不存在能够轻松评估这些组件在完整系统中如何运行的仪器。在这项工作中,我们着手设计并验证一种软件定义的混合信号路由架构“xDev”,它能使神经技术系统设计师快速迭代、评估并部署先进的多组件系统。我们为xDev制定了一套系统要求,并基于一个16×16模拟交叉点多路复用器进行了设计。然后,我们测试了该设计的阻抗和开关特性,评估了生物信号和高速数字信号频率范围内的信号增益和串扰衰减,并评估了xDev灵活重新路由微伏级幅度信号和高速信号的能力。最后,我们在手术中部署了xDev,以使用各种神经技术子模块快速进行神经调节实验。xDev系统的阻抗匹配、串扰衰减和频率响应特性在很宽的频率范围内准确地传输信号,涵盖了生物信号的典型特征并扩展到高速数字范围。微伏级生物信号和600 Mbps以太网连接通过该架构被准确路由。这些性能特征最终通过在羊模型中植入脊髓电极阵列展示了该系统的灵活性。xDev代表了一种首创的、低成本的、软件定义的神经技术开发加速平台。通过公开、开源发布我们的设计,我们降低了未来神经技术系统开发面临的障碍。