Jiao Peiyao, Jia Qianli, Li Shuqi, Shan Jin, Xu Wei, Wang Yu, Liu Yu, Wang Mingchuan, Song Yilin, Zhang Yulian, Yu Yanbing, Wang Mixia, Cai Xinxia
State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.
Biosensors (Basel). 2025 Apr 18;15(4):262. doi: 10.3390/bios15040262.
Wireless microsystems for neural signal recording have emerged as a solution to overcome the limitations of tethered systems, which restrict the mobility of subjects and introduce noise interference. However, existing microsystems often face data throughput, signal processing, and long-distance wireless transmission challenges. This study presents a high-performance wireless microsystem capable of 32-channel, 30 kHz real-time recording, featuring Field Programmable Gate Array (FPGA)-based signal processing to reduce transmission load. The microsystem is integrated with platinum nanoparticles/poly (3,4-ethylenedioxythiophene) polystyrene sulfonate-enhanced microelectrode arrays for improved signal quality. A custom NeuroWireless platform was developed for seamless data reception and storage. Experimental validation in rats demonstrated the microsystem's ability to detect spikes and local field potentials from the hippocampal CA1 and CA2 subregions. Comparative analysis of the neural signals revealed distinct activity patterns between these subregions. The wireless microsystem achieves high accuracy and throughput over distances up to 30 m, demonstrating its resilience and potential for neuroscience research. This work provides a compact, adaptable solution for multi-channel neural signal detection and offers a foundation for future applications in brain-computer interfaces.
用于神经信号记录的无线微系统已成为克服有线系统局限性的一种解决方案，有线系统限制了受试者的活动并引入噪声干扰。然而，现有的微系统常常面临数据吞吐量、信号处理和长距离无线传输方面的挑战。本研究展示了一种高性能无线微系统，能够进行32通道、30 kHz的实时记录，其具有基于现场可编程门阵列（FPGA）的信号处理功能以减轻传输负载。该微系统与铂纳米颗粒/聚（3,4-乙撑二氧噻吩）聚苯乙烯磺酸盐增强型微电极阵列集成在一起，以提高信号质量。开发了一个定制的神经无线平台，用于无缝数据接收和存储。在大鼠身上进行的实验验证表明，该微系统能够检测海马CA1和CA2子区域的尖峰信号和局部场电位。对神经信号的比较分析揭示了这些子区域之间不同的活动模式。该无线微系统在长达30米的距离上实现了高精度和高吞吐量，证明了其适应性以及在神经科学研究中的潜力。这项工作为多通道神经信号检测提供了一种紧凑、适应性强的解决方案，并为未来在脑机接口中的应用奠定了基础。
