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一种使用微波传输和数据驱动方法的非侵入式水化监测技术。

A Non-Invasive Hydration Monitoring Technique Using Microwave Transmission and Data-Driven Approaches.

机构信息

Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.

Department of Kinesiology, Kansas State University, Manhattan, KS 66506, USA.

出版信息

Sensors (Basel). 2022 Mar 25;22(7):2536. doi: 10.3390/s22072536.

DOI:10.3390/s22072536
PMID:35408154
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9003514/
Abstract

Dehydration in the human body arises due to inadequate replenishment of fluids. An appropriate level of hydration is essential for optimal functioning of the human body, and complications ranging from mild discomfort to, in severe cases, death, could result from a neglected imbalance in fluid levels. Regular and accurate monitoring of hydration status can provide meaningful information for people operating in stressful environmental conditions, such as athletes, military professionals and the elderly. In this study, we propose a non-invasive hydration monitoring technique employing non-ionizing electromagnetic power in the microwave band to estimate the changes in the water content of the whole body. Specifically, we investigate changes in the attenuation coefficient in the frequency range 2-3.5 GHz between a pair of planar antennas positioned across a participant's arm during various states of hydration. Twenty healthy young adults (10M, 10F) underwent controlled hypohydration and euhydration control bouts. The attenuation coefficient was compared among trials and used to predict changes in body mass. Volunteers lost 1.50±0.44% and 0.49±0.54% body mass during hypohydration and euhydration, respectively. The microwave transmission-based attenuation coefficient (2-3.5 GHz) was accurate in predicting changes in hydration status. The corresponding regression analysis demonstrates that building separate estimation models for dehydration and rehydration phases offer better predictive performance (88%) relative to a common model for both the phases (76%).

摘要

人体脱水是由于液体补充不足引起的。适当的水合水平对于人体的最佳功能至关重要,如果忽视了液体水平的失衡,可能会导致从轻度不适到严重情况下死亡等并发症。定期和准确地监测水合状态可以为在紧张环境条件下工作的人提供有意义的信息,例如运动员、军事专业人员和老年人。在这项研究中,我们提出了一种使用微波波段非电离电磁功率的非侵入性水合监测技术,以估计全身水分含量的变化。具体来说,我们研究了在一对位于参与者手臂两侧的平面天线之间在不同水合状态下,在 2-3.5GHz 频率范围内衰减系数的变化。二十名健康的年轻成年人(10 名男性,10 名女性)经历了受控的脱水和水合控制阶段。比较了试验之间的衰减系数,并将其用于预测体重变化。志愿者在脱水和水合阶段分别失去了 1.50±0.44%和 0.49±0.54%的体重。基于微波传输的衰减系数(2-3.5GHz)在预测水合状态变化方面非常准确。相应的回归分析表明,为脱水和再水合阶段分别建立单独的估计模型比为两个阶段建立通用模型(76%)具有更好的预测性能(88%)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/d27927debf5a/sensors-22-02536-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/775914288162/sensors-22-02536-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/81088ee1fc24/sensors-22-02536-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/34544210ca98/sensors-22-02536-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/545b78ef9e70/sensors-22-02536-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/b21349ded591/sensors-22-02536-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/933a935fad64/sensors-22-02536-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/953378ec332a/sensors-22-02536-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/39c33d46d0c5/sensors-22-02536-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/d27927debf5a/sensors-22-02536-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/775914288162/sensors-22-02536-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/81088ee1fc24/sensors-22-02536-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/34544210ca98/sensors-22-02536-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/545b78ef9e70/sensors-22-02536-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/b21349ded591/sensors-22-02536-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/933a935fad64/sensors-22-02536-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/953378ec332a/sensors-22-02536-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/39c33d46d0c5/sensors-22-02536-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/838e/9003514/d27927debf5a/sensors-22-02536-g009.jpg

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