无线供电散射神经记录可穿戴系统

Yiming Han;Linran Zhao;Raymond G. Stephany;Ju-Chun Hsieh;Huiliang Wang;Yaoyao Jia
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摘要

本文介绍了一种无线供电的分散式神经记录可穿戴系统,该系统可促进连续、无束缚和长期的脑电图(EEG)记录。该系统包括 32 个独立脑电图记录设备和一个中央控制器,采用可穿戴式设计。这些独立设备稀疏地分布在头皮上,可灵活放置,并可改变数量,以提供广泛的空间覆盖和可扩展性。每个独立设备都配有低功耗脑电图记录专用集成电路(ASIC),通过 60 MHz 感应链路无线接收电源。低功耗 ASIC 设计(84.6 μW)可通过小型接收器线圈确保足够的无线功率接收。60 MHz 感应链路还可作为独立设备与中央控制器之间无线通信的数据载体,无需额外的数据天线。所有这些努力都有助于实现尺寸为 12×12×5 mm3 的独立设备的小型化,从而提高设备的可穿戴性。中央控制器在 60 MHz 载波上应用脉宽调制 (PWM) 方案,以 4 Mbps 的速度向脑电图记录 ASIC 传输用户命令。ASIC 采用新型同步 PWM 解调器来提取用户指令、进行操作信号数字化和数据传输。模拟前端(AFE)以 45 dB 的增益放大脑电信号,并应用 0.03 Hz 至 400 Hz 的带通滤波,输入参考噪声(IRN)为 3.62 μVRMS。放大后的脑电信号由一个 10 位逐次逼近寄存器(SAR)模数转换器(ADC)进行数字化处理,其峰值信噪比和失真比(SNDR)为 55.4 dB。生成的脑电图数据通过负载移位键控(LSK)反向散射以 3.75 Mbps 的速度传输到外部软件定义无线电(SDR)Rx。在人体实验中对该系统的功能进行了全面评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Wirelessly Powered Scattered Neural Recording Wearable System
This paper introduces a wirelessly powered scattered neural recording wearable system that can facilitate continuous, untethered, and long-term electroencephalogram (EEG) recording. The proposed system, including 32 standalone EEG recording devices and a central controller, is incorporated in a wearable form factor. The standalone devices are sparsely distributed on the scalp, allowing for flexible placement and varying quantities to provide extensive spatial coverage and scalability. Each standalone device featuring a low-power EEG recording application-specific integrated circuit (ASIC) wirelessly receives power through a 60 MHz inductive link. The low-power ASIC design (84.6 µW) ensures sufficient wireless power reception through a small receiver (Rx) coil. The 60 MHz inductive link also serves as the data carrier for wireless communication between standalone devices and the central controller, eliminating the need for additional data antennas. All these efforts contribute to the miniaturization of standalone devices with dimensions of 12 × 12 × 5 mm 3 , enhancing device wearability. The central controller applies the pulse width modulation (PWM) scheme on the 60 MHz carrier, transmitting user commands at 4 Mbps to EEG recording ASICs. The ASIC employs a novel synchronized PWM demodulator to extract user commands, operating signal digitization and data transmission. The analog frontend (AFE) amplifies the EEG signal with a gain of 45 dB and applies band-pass filtering from 0.03 Hz to 400 Hz, with an input-referred noise (IRN) of 3.62 µV RMS . The amplified EEG signal is then digitized by a 10-bit successive approximation register (SAR) analog-to-digital converter (ADC) with a peak signal-to-noise and distortion ratio (SNDR) of 55.4 dB. The resulting EEG data is transmitted to an external software-defined radio (SDR) Rx through load-shift-keying (LSK) backscatter at 3.75 Mbps. The system’s functionality is fully evaluated in human experiments.
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