一种用于无创血糖测量的阻抗和多波长近红外光谱集成电路

Kiseok Song, U. Ha, Seongwook Park, H. Yoo
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引用次数: 13

摘要

提出了一种结合阻抗谱(IMPS)和多波长近红外光谱(mNIRS)的多模态光谱集成电路,用于高精度无创血糖水平估计。提出了一种频率扫描(10kHz - 76kHz)正弦振荡器(FSSO),用于高分辨率(500步长)的IMPS。通过自适应增益控制(AGC)稳定了FSSO的输出电压摆幅。外部智能设备中的人工神经网络(ANN)将IMPS和mNIRS的测量结果结合起来,使平均绝对相对差(mARD)从IMPS的15%和mNIRS的15% - 20%提高到8.3%。所提出的12.5mm2 0.18μm CMOS芯片在1.5V电压下的峰值功耗为38mW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An impedance and multi-wavelength near-infrared spectroscopy IC for non-invasive blood glucose estimation
A multi-modal spectroscopy IC combining the impedance spectroscopy (IMPS) and the multi-wavelength near-infrared spectroscopy (mNIRS) is proposed for high precision non-invasive glucose level estimation. A frequency sweep (10kHz - 76kHz) sinusoidal oscillator (FSSO) is proposed for high resolution (500 steps) for IMPS. The output voltage swing of the FSSO is stabilized by an adaptive gain control (AGC). The measurement results of the IMPS and mNIRS are combined by an artificial neural network (ANN) in external smart device so that mean absolute relative difference (mARD) is enhanced to 8.3% from 15% of IMPS, 15% - 20% of mNIRS. A proposed 12.5mm2 0.18μm CMOS chip consumes peak power of 38mW at 1.5V.
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