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A Robust System for Longitudinal Knee Joint Edema and Blood Flow Assessment Based on Vector Bioimpedance Measurements

机译:基于矢量生物阻抗测量的纵向膝关节水肿和血流评估的稳健系统

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We present a robust vector bioimpedance measurement system for longitudinal knee joint health assessment, capable of acquiring high resolution static (slowly varying over the course of hours to days) and dynamic (rapidly varying on the order of milli-seconds) bioresistance and bioreactance signals. Occupying an area of and consuming 0.25 W when supplied with 5 V, the front-end achieves a dynamic range of 345 and noise floor of 0.018 (resistive) and 0.055 (reactive) within a bandwidth of 0.1–20 Hz. A microcontroller allows real-time calibration to minimize errors due to environmental variability (e.g., temperature) that can be experienced outside of lab environments, and enables data storage on a micro secure digital card. The acquired signals are then processed using customized physiology-driven algorithms to extract musculoskeletal (edema) and cardiovascular (local blood volume pulse) features from the knee joint. In a feasibility study, we found statistically significant differences between the injured and contralateral static knee impedance measures for two subjects with recent unilateral knee injury compared to seven controls. Specifically, the impedance was lower for the injured knees, supporting the physiological expectations for increased edema and damaged cell membranes. In a second feasibility study, we demonstrate the sensitivity of the dynamic impedance measures with a cold-pressor test, with a 20 decrease in the pulsatile resistance associated with increased downstream peripheral vascular resistance. The proposed system will serve as a foundation for future efforts aimed at quantifying joint health status continuously during normal daily life.
机译:我们提出了一个强大的矢量生物阻抗测量系统,用于纵向膝关节健康评估,能够获取高分辨率的静态(在几小时到几天的时间内缓慢变化)和动态(在几毫秒的数量级上迅速变化)生物电阻和生物反应信号。前端提供5 V电源时,其面积为0.25 W,消耗功率为0.25 W,在0.1-20 Hz的带宽内,其动态范围为345,本底噪声为0.018(电阻性)和0.055(无功)。微控制器允许实时校准以最小化在实验室环境之外可能遇到的由于环境变化性(例如,温度)引起的误差,并且能够将数据存储在微型安全数字卡上。然后,使用定制的生理学驱动算法处理获取的信号,以从膝关节中提取肌肉骨骼(水肿)和心血管(局部血容量脉冲)特征。在一项可行性研究中,我们发现与最近七个单侧膝关节损伤相比,两个最近单侧膝关节损伤的受试者在受伤和对侧静态膝关节阻抗测量之间存在统计学上的显着差异。具体而言,对于受伤的膝盖,阻抗较低,从而支持了对水肿增加和细胞膜受损的生理期望。在第二个可行性研究中,我们通过冷压试验证明了动态阻抗测量的灵敏度,随着下游外周血管阻力的增加,脉动阻力降低了20。拟议的系统将为未来的工作奠定基础,这些工作旨在在正常的日常生活中不断量化关节健康状况。

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