← 返回 JSSC 论文列表JSSC 2007第1期RF & Wireless0.5μm
A Low-Power Integrated Circuit for a Wireless 100-Electrode Neural
开发了一种用于无线100电极神经记录系统的低功耗集成电路,适用于植入式神经修复设备。
0.5μm CMOS, 13.5mW, 330kb/s
神经记录植入式设备低功耗无线传输数据压缩
▸创新点1:低功耗ADC设计 - 采用0.5μm CMOS工艺实现4.7×5.9 mm²芯片面积,功耗仅13.5mW,通过优化量化噪声和采样率(6.5 kb/s指令接收)在神经信号带宽内实现10位精度,属于电路级创新。
▸创新点2:尖峰检测器阵列用于数据压缩 - 通过100通道并行检测神经元动作电位(spike),将原始330 kb/s数据流压缩至有效神经特征数据,减少无线传输功耗,属于系统架构创新。
▸创新点3:无线供电与数据传输集成 - 采用2.64-MHz电感耦合供电与433-MHz FSK发射器协同设计,实现全植入式设备的闭环能量与数据链路,传输距离满足皮层植入需求,属于跨层优化创新。
▸创新点4:热安全控制机制 - 通过功率分配算法将芯片温升控制在几摄氏度内,避免组织热损伤(cell death),在13.5mW总功耗下达成生物兼容性,属于可靠性创新。
Abstract
Recent work in field of neuroprosthetics has demon- strated that by observing the simultaneous activity of many neu- rons in specific regions of the brain, it is possible to produce con- trol signals that allow animals or humans to drive cursors or pros- thetic limbs directly through thoughts. As neuroprosthetic devices transition from experimental to clinical use, there is a need for fully-implantable amplification and telemetry electronics in close proximity to the recording sites. To address these needs, we devel- oped a prototype integrated circuit for wireless neural recording from a 100-channel microelectrode array. The design of both the system-level architecture and the individual circuits were driven by severe power constraints for small implantable devices; chronically heating tissue by only a few degrees Celsius leads to cell death. Due to the high data rate produced by 100 neural signals, the system must perform data reduction as well. We use a combination of a low-power ADC and an array of “spike detectors” to reduce the transmitted data rate while preserving critical information. The complete system receives power and commands (at 6.5 kb/s) wire- lessly over a 2.64-MHz inductive link and transmits neural data back at a data rate of 330 kb/s using a fully-integrated 433-MHz FSK transmitter. The 4.7 5.9 mm /50chip was fabricated in a 0.5- m 3M2P CMOS process and consumes 13.5 mW of power. While cross-chip interference limits performance in single-chip op- eration, a