Dual-Mode Additive Noise Rejection in Wearable Photoplethysmography

2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2012-05-09 DOI:10.1109/BSN.2012.15

J. Patterson, Guang-Zhong Yang

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引用次数: 7

Abstract

This paper presents a mixed-signal photo detection architecture that provides DC offset rejection of up to x5 beyond the dynamic range of the front-end amplifier while retaining the DC signal content of the physiological signal being detected. Closed-loop control of the mean input current is used to prevent saturation of the detector's front-end amplifier while frequency modulation of the illumination source enables homodyne detection of the absorption properties of the blood vessels being investigated. As modulation creates a copy of the desired signal at high frequency, the bandwidth of the current feedback loop is allowed to overlap with low frequency physiological signals (e.g. respiration rate) without rejecting them from the homodyne output. Use of lattice wave digital filters enables a photo plethysmography system to be implemented with up to 1,000 samples per second in real-time by a low-power microcontroller. Experimental validation of the dual-mode noise rejection technique shows that it is robust against high static ambient light levels as well as rapid transitions in light levels.

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可穿戴光容积脉搏波双模加性噪声抑制

本文提出了一种混合信号光检测架构，该架构在前端放大器动态范围之外提供高达x5的直流偏置抑制，同时保留被检测生理信号的直流信号内容。平均输入电流的闭环控制用于防止检测器前端放大器的饱和，而照明源的频率调制可以对所研究的血管的吸收特性进行纯差检测。由于调制在高频处创建所需信号的副本，电流反馈回路的带宽允许与低频生理信号(例如呼吸速率)重叠，而不会拒绝它们来自同差输出。晶格波数字滤波器的使用使光电容积脉搏波系统能够通过低功耗微控制器实时实现每秒多达1000个样本。双模噪声抑制技术的实验验证表明，它对高静态环境光水平以及光水平的快速变化具有鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks

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