用于动物健康监测注射设备的无线多模态生理监测 ASIC。

Linran Zhao;Raymond G. Stephany;Yiming Han;Parvez Ahmmed;Tzu-Ping Huang;Alper Bozkurt;Yaoyao Jia
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引用次数: 0

摘要

与传统的可穿戴设备相比,利用可注射设备监测动物健康具有多种优势,包括改善信噪比(SNR)和增强对运动伪影的免疫力。我们介绍了一种用于注射设备的无线应用专用集成电路(ASIC)。该 ASIC 具有多种生理传感模式,包括体温监测、心电图 (ECG) 和光电血压计 (PPG)。该 ASIC 采用 CMOS 180 nm 工艺制造,大小适于植入可注射微芯片。ASIC 采用低功耗设计,平均直流功耗为 155.3 μW,可通过感应链路为 ASIC 无线供电。为了捕获心电信号,我们设计了心电图模拟前端(AFE),具有 0.3 Hz 的低截止频率和 45-79 dB 的可调中频增益。为了测量 PPG,我们采用了一种节能、安全的基于开关电容的发光二极管(LED)驱动器,以毫安级电流脉冲点亮 LED。基于 SC 积分器的 AFE 通过可编程跨阻增益转换光电二极管的电流。基于电阻的惠斯通电桥(WhB)温度传感器后接一个仪表放大器(IA),提供 27-47 °C 的感应范围,误差为 0.02 °C。记录的生理信号由采用逐次逼近寄存器(SAR)架构的 10 位模数转换器(ADC)进行顺序采样和量化。SAR 模数转换器采用高能效开关方案,在 1 kHz 带宽内实现了 57.5 dB 的信噪比(SNDR)。然后,背面数据遥测通过中频辅助的反向散射方案传输基带数据。ASIC 的整体功能和性能已通过体内实验进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Wireless Multimodal Physiological Monitoring ASIC for Animal Health Monitoring Injectable Devices
Utilizing injectable devices for monitoring animal health offers several advantages over traditional wearable devices, including improved signal-to-noise ratio (SNR) and enhanced immunity to motion artifacts. We present a wireless application-specific integrated circuit (ASIC) for injectable devices. The ASIC has multiple physiological sensing modalities including body temperature monitoring, electrocardiography (ECG), and photoplethysmography (PPG). The ASIC fabricated using the CMOS 180 nm process is sized to fit into an injectable microchip implant. The ASIC features a low-power design, drawing an average DC power of 155.3 µW, enabling the ASIC to be wirelessly powered through an inductive link. To capture the ECG signal, we designed the ECG analog frontend (AFE) with 0.3 Hz low cut-off frequency and 45-79 dB adjustable midband gain. To measure PPG, we employ an energy-efficient and safe switched-capacitor-based (SC) light emitting diode (LED) driver to illuminate an LED with milliampere-level current pulses. A SC integrator-based AFE converts the current of photodiode with a programmable transimpedance gain. A resistor-based Wheatstone Bridge (WhB) temperature sensor followed by an instrumentation amplifier (IA) provides 27–47 °C sensing range with 0.02 °C inaccuracy. Recorded physiological signals are sequentially sampled and quantized by a 10-bit analog-to-digital converter (ADC) with the successive approximation register (SAR) architecture. The SAR ADC features an energy-efficient switching scheme and achieves a 57.5 dB signal-to-noise-and-distortion ratio (SNDR) within 1 kHz bandwidth. Then, a back data telemetry transmits the baseband data via a backscatter scheme with intermediate-frequency assistance. The ASIC’s overall functionality and performance has been evaluated through an in vivo experiment.
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